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Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.
As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experiments, and derive insights that will guide product development. You will play a critical role in shaping data products and experimentation, focusing on enhancing user experience.
You will be a key member of Grindr’s centralized Data organization, which fosters collaboration among data scientists, data engineers, and ML/AI engineers. This position offers an exciting opportunity to amplify your impact while learning from experts across various disciplines.
Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experime…
Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.
Join Grindr as a Senior Staff Data Scientist in a hybrid capacity at our Palo Alto office, where you will work in-office on Tuesdays and Thursdays.Why This Role is ExcitingGrindr (NYSE: GRND) is the largest LGBTQ+ social networking platform globally, boasting over 14 million active users monthly across nearly every country. As an integral part of the LGBTQ+ community, we are a cornerstone of gay culture.In your role, you will collaborate across teams including product managers, designers, and engineers to develop actionable metrics, spearhead innovative experiments, and provide data-driven insights that will inform strategic decisions. Your contributions will directly enhance the experience of millions of users through production-level models and analyses. Furthermore, you will serve as an ambassador for the Data Science team, sharing knowledge about effective data utilization with diverse teams across the organization.Being a part of Grindr's data organization means engaging with a dynamic team of data scientists, data engineers, and ML/AI engineers, all working together to push the boundaries of data science.Key ResponsibilitiesDerive actionable insights from complex, open-ended inquiries.Define strategies for designing and assessing experiments to evaluate product changes.Effectively communicate results to executives and cross-functional teams to influence product and organizational strategies.Analyze product data to identify the root causes of metric fluctuations.Collaborate with stakeholders to communicate findings that guide product decisions.Develop and oversee tools that automate analyses, enhancing productivity across the organization.Mentor team members and recommend best practices.Employ an engineering mindset to streamline complexity while maximizing utility and maintainability.Shape the future of our data products by developing machine learning solutions that enhance user recommendations, identify spam, and improve user engagement.What We Value in You
Join our dynamic team as a Staff Software Engineer - Android in a hybrid work environment based in our Palo Alto office, where attendance is required on Tuesdays and Thursdays.What makes this opportunity exciting?Be an integral part of developing the next iteration of the Grindr app! Collaborating with our talented Android team, you’ll tackle complex challenges, harness cutting-edge technologies, and contribute to an innovative platform that serves the LGBTQ+ community on a grand scale.Your responsibilities will include:Collaborating with a brilliant cross-functional and cross-timezone team to enhance the Grindr user experience.Navigating multiple work streams and embracing ambiguity to foster high-level strategic thinking.Driving innovation through data-informed decisions that lead to the adoption of new technologies and workflows.Elevating team technical skills by introducing new tools and methodologies.Building robust Android applications with a focus on:Proficiency in Kotlin programming.Managing extensive codebases while ensuring clarity and maintainability.Optimizing performance for complex applications to enhance user satisfaction.Designing scalable applications from the ground up.Implementing software engineering best practices and design patterns such as MVVM, Coordinator, one-way data flow, and modular architecture.What we admire about you:You take initiative and can drive changes beyond your immediate team.You possess at least 6 years of experience in developing complex Android applications.Your technical expertise inspires creativity and innovation among your peers.You have experience in product leadership and can make sound decisions that balance product needs and technical constraints.Your collaborative nature enables you to work effectively with diverse teams.
Full-time|$250K/yr - $250K/yr|On-site|Palo Alto, CA
Our MissionAt Whop, we are dedicated to providing everyone with a sustainable income. Currently, we empower millions across the globe, exemplifying the transformative nature of today's workforce, especially for the youth.About the RoleWe are in search of talented Data Scientists to play a pivotal role in shaping our decision-making framework. You will be responsible for managing the data infrastructure that informs our understanding of growth, product efficiency, marketplace trends, and overall financial and operational health. Collaborating closely with teams in product, growth, finance, and leadership, you will address critical questions that guide our strategic investments, identify successes and challenges, and accelerate our scaling efforts.Key ResponsibilitiesTransform complex product, marketplace, and financial data into actionable insights.Develop dashboards and metrics that are integral to leadership and team decision-making.Identify key growth drivers, retention trends, funnel obstacles, marketplace quality indicators, and monetization prospects.Collaborate with product and engineering teams to establish metrics, enhance data collection processes, and assess product launches.Prepare performance reports suitable for board and executive review.Proactively identify anomalies, risks, and opportunities before they are raised by other teams.Required QualificationsProven experience in a data science, analytics, or strategic data role within a fast-paced technology company.Ability to convert ambiguous business inquiries into structured analyses, metrics, and actionable recommendations.Expertise in handling disorganized, incomplete, or rapidly evolving data.Strong judgment regarding product and business strategies; capable of distinguishing between intriguing and practical analyses.Excellent communication skills that bridge technical and non-technical teams.A proactive mindset: you take initiative to address significant challenges without waiting for explicit direction.Comfortable collaborating closely with founders, leadership, product, engineering, growth, and finance teams.Preferred QualificationsExperience in marketplace dynamics and financial modeling.
About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.
About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.
About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.
Join us at Grindr in a hybrid position based in our Palo Alto or San Francisco offices, with in-office attendance required on Tuesdays and Thursdays.Why This Role is Exciting:As a pivotal figure at Grindr, you will lead our transformative AI journey. This is your opportunity to leverage state-of-the-art machine learning techniques to revolutionize the way millions within the LGBTQ+ community connect, whether through engaging conversations, casual meetups, or meaningful relationships. Our commitment to machine learning is strong, and you will play an essential role in shaping our strategy and execution on this unique global platform.Impact from Day One: You will be instrumental in establishing foundational systems in an early-stage ML environment, charting the roadmap for our long-term strategy.Innovative Recommendations: Design and scale recommendation platforms that connect millions to their next significant experience, tailored to diverse user intents.Conversational Insights: Employ large language models (LLMs) to extract insights and establish best practices for conversational AI, enhancing user engagement with precision.Key Responsibilities:Develop and manage large-scale recommendation systems to serve millions of users while balancing performance and innovation.Utilize advanced LLMs to analyze extensive conversation data, enhancing connections among users.Prototype, iterate, and deploy production-ready ML solutions addressing real user challenges.Provide technical guidance across teams, collaborating with engineering, data science, and product teams to turn innovative ideas into reality.Assess and incorporate emerging AI tools and techniques organization-wide to maintain a leading-edge technology stack.Qualifications We Seek:Over 10 years of experience in building ML systems, particularly in developing 0-to-1 systems, platform architecture, and pioneering new capabilities. Familiarity with recommendation systems is advantageous.Proven track record of delivering scalable solutions, with proficiency in Python and popular ML frameworks.A proactive mindset and the ability to work in a fast-paced, dynamic environment.
Join our dynamic Digital Marketing Analytics team as a Digital Marketing Data Scientist, where you'll play a critical role in addressing complex business challenges through data science. This position allows you to engage in the full lifecycle of experimentation—ranging from data-driven hypothesis formulation to test design, analysis, and interpretation.Your insights will directly influence business optimizations across the customer journey, and you'll have the opportunity to innovate experimental methodologies to extract meaningful results.The ideal candidate will possess a robust technical background in statistics and predictive modeling, alongside significant experience in developing datasets for various data science initiatives. Exceptional communication skills and advanced analytical abilities are essential for success in this role.
Full-time|$175K/yr - $215K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we are on the lookout for a passionate, customer-focused individual to join our dynamic team.In this pivotal role as a Senior Data Engineer, you will be instrumental in crafting the data infrastructure that enables faster and smarter decision-making across our organization. You will design, scale, and manage our modern, cloud-based data platform, ensuring that our data flows seamlessly and is effectively utilized by teams throughout the company.This is a rare opportunity to establish data standards, influence technical direction, and guarantee the quality, consistency, and scalability of the data platform relied upon by hundreds of thousands of small and medium-sized trucking companies each day.Our Palo Alto office offers a hybrid work environment that encourages collaboration in the office while also providing the flexibility to work remotely.
Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.
The banking industry is undergoing a transformation, and customers are demanding interactions that are seamless, personalized, and instantaneous.We are developing a comprehensive banking assistant that millions of consumers across the U.S. can utilize to manage transactions with all financial institutions. Over time, this assistant will automatically guide users towards their financial objectives. Powered by our innovative BankGPT platform, this assistant aims to revolutionize outdated legacy systems within financial institutions and dominate the entire customer experience stack, unlocking a $200 billion market opportunity and potentially superseding several publicly traded companies.Our ultimate objective is to enhance the financial well-being of millions of consumers.With two-thirds of Americans living paycheck to paycheck, 50% having less than $500 in savings, and only 17% being financially literate, we are committed to automating financial well-being to address this challenge.Role Overview:As the Chief of Staff, you will serve as a strategic partner to the CEO, fostering focus, alignment, and execution throughout the organization. You will be instrumental in scaling the company, defining cross-functional priorities, and ensuring operational excellence as we pursue growth.This high-impact, high-visibility position is perfect for an individual who thrives in uncertainty, possesses a strong strategic mindset, and can implement quickly. You will collaborate closely with the executive team to drive strategic initiatives, enforce accountability, and convert strategy into tangible results.Your responsibilities will encompass a range of activities, from strategic initiatives that facilitate organizational scaling to tactical and operational tasks—including managing the CEO’s inbox, scheduling meetings, prioritizing communications, and ensuring the CEO’s focus on the most critical matters.
Join us in a hybrid work setting at our Palo Alto office, where you'll be expected to work on-site every Tuesday and Thursday.Why is this role exciting?Become an integral part of the iOS development team at Grindr as we build the future of our app! You will tackle complex challenges, engage with cutting-edge technology, collaborate with a supportive and talented team, and help us maintain our position as the leading social media platform for the LGBTQ community.What will you do?Collaborate with a diverse, cross-functional team across various time zones to enhance the Grindr user experience.Navigate multiple projects while embracing ambiguity to foster innovative, high-level thinking.Drive innovation by leveraging data-driven insights to integrate new technologies, architectures, and workflows.Enhance your team's technical skills by introducing new tools and methodologies.Utilizing Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub, you will evolve and maintain our software architecture to meet current and future demands for consumer-facing mobile products, supporting our product roadmap.What we appreciate in youYou are a proactive leader who takes initiative and can drive change across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical expertise inspires creativity and innovation among your peers.You have a strong background in product leadership and technical decision-making, skillfully balancing product needs with code quality.You have experience collaborating with various business stakeholders, including c-suite executives and VPs.You can dive deep into coding while also mentoring your team on long-term projects.A solid understanding of software engineering best practices and design patterns such as MVVM, Coordinator, and one-way data flow is essential.
Join mindrobotics as a Data Engineer, where you will play a pivotal role in developing the data systems that drive large-scale AI training for robots. This position is centered around transforming extensive data into well-organized, high-quality datasets. You will take ownership of data pipelines, labeling workflows, storage, and cloud infrastructure from start to finish. If you thrive in scaling environments, enjoy creating bespoke tools when existing solutions are inadequate, and aim to enhance data reliability for rapid iteration, you'll find a welcoming home here. Collaborate closely with researchers and engineers to ensure that our data propels swift and impactful advancements in robot training and evaluation.
About UsOdyssey is a cutting-edge AI laboratory that is at the forefront of developing general-purpose world models—an innovative form of multimodal intelligence that is set to revolutionize consumer, enterprise, and intelligence applications. Our groundbreaking models, such as Odyssey-2 Pro, represent the next significant leap in AI technology.Position OverviewWe are seeking a dynamic Chief of Staff to serve as a crucial partner to our CEO and CTO. This role goes beyond traditional support or administrative duties, placing you in a position of influence and trust within our organization. As a strategic thinker with a founder's mindset, you will navigate the complexities of strategy, fundraising, research, and execution to help guide the company through a pivotal growth phase.Your ResponsibilitiesPartnership with Leadership: Collaborate with the CEO and CTO, serving as a trusted advisor while driving forward business objectives.Proactive Risk Management: Anticipate potential challenges and uncover opportunities that can propel the business forward.Fundraising and Board Management: Partner with the CEO to craft fundraising strategies, investor narratives, and prepare essential materials for board meetings.Business Operations: Lead strategic planning and prioritize initiatives that align with our organizational goals.
Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.
Simile develops AI simulations that capture complex societal dynamics by using generative agents modeled on real human behavior. The company aims to help organizations make more responsible decisions by offering realistic simulations, similar to how pilots or surgeons train before facing real-world situations. Simile is building a Foundation Model to predict human behavior in a variety of contexts and at different scales. The company is supported by $100 million in funding from investors including Index Ventures, Hanabi, A*, and Bain Capital Ventures. Role overview The Member of Technical Staff (Research) joins the Research team in Palo Alto. This position involves hands-on work throughout the lifecycle of Simile’s human behavior models: training, evaluation, deployment, and monitoring. The team bridges research and product, with a strong focus on experimental rigor and system reliability to support critical decision-making. Researchers are expected to take full ownership of their projects, from designing experiments to deploying models in production. The work has a direct impact on real-world applications. Key responsibilities Redesigning data schemas: Overhaul foundational data architecture by redefining schemas across multiple databases to strengthen system capabilities. Improving computational performance: Refactor algorithms in internal data pipelines, resolving bottlenecks to enable efficient, large-scale model training. Building and managing infrastructure: Design and operate model training infrastructure, write high-performance code for NVIDIA hardware, and ensure smooth data ingestion and workflow efficiency. Developing scientific evaluations: Create advanced evaluation tools that extend beyond standard benchmarks to verify model reliability and accuracy. Location This position is based in Palo Alto.
At Array Labs, we are at the forefront of innovation, developing the world's most advanced radar imaging satellites. Our mission is to create a precise, continuously updated 3D map of the Earth, providing governments and commercial organizations with essential insights into the physical world. We manage the entire system lifecycle, from on-orbit hardware to ground software and data processing, empowering us to control performance, reliability, and the speed of enhancements.The Chief of Staff to the CEO is a dynamic execution role that requires high energy and strategic thinking. Reporting directly to the CEO, you will collaborate closely with the Engineering leadership and R&D teams to propel CEO-priority development projects from conception through to delivery. You will establish a rigorous weekly operational rhythm, clearly defining ownership and milestones, identifying risks and dependencies early on, and facilitating decisive actions to ensure smooth execution. Your role will also encompass synthesizing updates into concise, executive-level reports for leadership and the organization.This position is best suited for a high-performing operator with outstanding judgment, exceptional communication skills, and a proven history of expanding responsibilities rapidly. It is a hands-on role that demands high ownership and exposure, and it is distinct from traditional Executive Assistant duties or PMO-oriented processes. While strong analytical skills and clear communication materials are valued, the primary focus here is on driving tangible execution and achieving delivered outcomes.
Full-time|$190K/yr - $225K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.About the RoleAt Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.Work Location: This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.To support our team, we provide:Commuter benefits to facilitate your travelLunches and snacks to keep you energizedA collaborative, high-growth environment where you will work alongside talented colleagues from various departmentsWe are hiring for three primary domains—Product, Risk, and Growth—allowing you to apply your expertise where your passion lies:What You’ll DoProduct:Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.Risk:Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.Growth:Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.
Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experime…
Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.
Join Grindr as a Senior Staff Data Scientist in a hybrid capacity at our Palo Alto office, where you will work in-office on Tuesdays and Thursdays.Why This Role is ExcitingGrindr (NYSE: GRND) is the largest LGBTQ+ social networking platform globally, boasting over 14 million active users monthly across nearly every country. As an integral part of the LGBTQ+ community, we are a cornerstone of gay culture.In your role, you will collaborate across teams including product managers, designers, and engineers to develop actionable metrics, spearhead innovative experiments, and provide data-driven insights that will inform strategic decisions. Your contributions will directly enhance the experience of millions of users through production-level models and analyses. Furthermore, you will serve as an ambassador for the Data Science team, sharing knowledge about effective data utilization with diverse teams across the organization.Being a part of Grindr's data organization means engaging with a dynamic team of data scientists, data engineers, and ML/AI engineers, all working together to push the boundaries of data science.Key ResponsibilitiesDerive actionable insights from complex, open-ended inquiries.Define strategies for designing and assessing experiments to evaluate product changes.Effectively communicate results to executives and cross-functional teams to influence product and organizational strategies.Analyze product data to identify the root causes of metric fluctuations.Collaborate with stakeholders to communicate findings that guide product decisions.Develop and oversee tools that automate analyses, enhancing productivity across the organization.Mentor team members and recommend best practices.Employ an engineering mindset to streamline complexity while maximizing utility and maintainability.Shape the future of our data products by developing machine learning solutions that enhance user recommendations, identify spam, and improve user engagement.What We Value in You
Join our dynamic team as a Staff Software Engineer - Android in a hybrid work environment based in our Palo Alto office, where attendance is required on Tuesdays and Thursdays.What makes this opportunity exciting?Be an integral part of developing the next iteration of the Grindr app! Collaborating with our talented Android team, you’ll tackle complex challenges, harness cutting-edge technologies, and contribute to an innovative platform that serves the LGBTQ+ community on a grand scale.Your responsibilities will include:Collaborating with a brilliant cross-functional and cross-timezone team to enhance the Grindr user experience.Navigating multiple work streams and embracing ambiguity to foster high-level strategic thinking.Driving innovation through data-informed decisions that lead to the adoption of new technologies and workflows.Elevating team technical skills by introducing new tools and methodologies.Building robust Android applications with a focus on:Proficiency in Kotlin programming.Managing extensive codebases while ensuring clarity and maintainability.Optimizing performance for complex applications to enhance user satisfaction.Designing scalable applications from the ground up.Implementing software engineering best practices and design patterns such as MVVM, Coordinator, one-way data flow, and modular architecture.What we admire about you:You take initiative and can drive changes beyond your immediate team.You possess at least 6 years of experience in developing complex Android applications.Your technical expertise inspires creativity and innovation among your peers.You have experience in product leadership and can make sound decisions that balance product needs and technical constraints.Your collaborative nature enables you to work effectively with diverse teams.
Full-time|$250K/yr - $250K/yr|On-site|Palo Alto, CA
Our MissionAt Whop, we are dedicated to providing everyone with a sustainable income. Currently, we empower millions across the globe, exemplifying the transformative nature of today's workforce, especially for the youth.About the RoleWe are in search of talented Data Scientists to play a pivotal role in shaping our decision-making framework. You will be responsible for managing the data infrastructure that informs our understanding of growth, product efficiency, marketplace trends, and overall financial and operational health. Collaborating closely with teams in product, growth, finance, and leadership, you will address critical questions that guide our strategic investments, identify successes and challenges, and accelerate our scaling efforts.Key ResponsibilitiesTransform complex product, marketplace, and financial data into actionable insights.Develop dashboards and metrics that are integral to leadership and team decision-making.Identify key growth drivers, retention trends, funnel obstacles, marketplace quality indicators, and monetization prospects.Collaborate with product and engineering teams to establish metrics, enhance data collection processes, and assess product launches.Prepare performance reports suitable for board and executive review.Proactively identify anomalies, risks, and opportunities before they are raised by other teams.Required QualificationsProven experience in a data science, analytics, or strategic data role within a fast-paced technology company.Ability to convert ambiguous business inquiries into structured analyses, metrics, and actionable recommendations.Expertise in handling disorganized, incomplete, or rapidly evolving data.Strong judgment regarding product and business strategies; capable of distinguishing between intriguing and practical analyses.Excellent communication skills that bridge technical and non-technical teams.A proactive mindset: you take initiative to address significant challenges without waiting for explicit direction.Comfortable collaborating closely with founders, leadership, product, engineering, growth, and finance teams.Preferred QualificationsExperience in marketplace dynamics and financial modeling.
About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.
About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration, believing in the transformative power of AI to reshape society. With our diverse talent spanning Europe, the USA, and Asia, we embrace a culture of low-ego teamwork and competitive spirit.At Mistral, we focus on developing advanced AI models for both enterprises and consumers, aiming to revolutionize business operations and enhance everyday life through open-source technology that everyone can leverage.Join Mistral and contribute to a pioneering organization at the forefront of AI innovation.Key Responsibilities* Innovate and develop advanced methodologies to elevate the capabilities of large language models.* Explore diverse use cases and modalities, including reasoning, code generation, and multimodal applications (text, image, speech).* Create robust tools and infrastructure to facilitate large-scale training, evaluation, and analysis of AI models.* Collaborate with interdisciplinary teams of scientists, engineers, and product developers to deliver impactful AI solutions.Qualifications* Proficient software engineer with expertise in at least one programming language (Python, Rust, Go, Java).* Practical experience with AI frameworks (e.g., PyTorch, JAX) and distributed systems (e.g., Ray, Kubernetes).* Strong engineering skills, capable of architecting complex software for production environments.* Self-motivated, autonomous, and a collaborative team player.Preferred Qualifications* Hands-on experience in training large transformer models in distributed settings.* Familiarity with the complete MLOps workflow, including fine-tuning, evaluation, and deployment.
About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.
Join us at Grindr in a hybrid position based in our Palo Alto or San Francisco offices, with in-office attendance required on Tuesdays and Thursdays.Why This Role is Exciting:As a pivotal figure at Grindr, you will lead our transformative AI journey. This is your opportunity to leverage state-of-the-art machine learning techniques to revolutionize the way millions within the LGBTQ+ community connect, whether through engaging conversations, casual meetups, or meaningful relationships. Our commitment to machine learning is strong, and you will play an essential role in shaping our strategy and execution on this unique global platform.Impact from Day One: You will be instrumental in establishing foundational systems in an early-stage ML environment, charting the roadmap for our long-term strategy.Innovative Recommendations: Design and scale recommendation platforms that connect millions to their next significant experience, tailored to diverse user intents.Conversational Insights: Employ large language models (LLMs) to extract insights and establish best practices for conversational AI, enhancing user engagement with precision.Key Responsibilities:Develop and manage large-scale recommendation systems to serve millions of users while balancing performance and innovation.Utilize advanced LLMs to analyze extensive conversation data, enhancing connections among users.Prototype, iterate, and deploy production-ready ML solutions addressing real user challenges.Provide technical guidance across teams, collaborating with engineering, data science, and product teams to turn innovative ideas into reality.Assess and incorporate emerging AI tools and techniques organization-wide to maintain a leading-edge technology stack.Qualifications We Seek:Over 10 years of experience in building ML systems, particularly in developing 0-to-1 systems, platform architecture, and pioneering new capabilities. Familiarity with recommendation systems is advantageous.Proven track record of delivering scalable solutions, with proficiency in Python and popular ML frameworks.A proactive mindset and the ability to work in a fast-paced, dynamic environment.
Join our dynamic Digital Marketing Analytics team as a Digital Marketing Data Scientist, where you'll play a critical role in addressing complex business challenges through data science. This position allows you to engage in the full lifecycle of experimentation—ranging from data-driven hypothesis formulation to test design, analysis, and interpretation.Your insights will directly influence business optimizations across the customer journey, and you'll have the opportunity to innovate experimental methodologies to extract meaningful results.The ideal candidate will possess a robust technical background in statistics and predictive modeling, alongside significant experience in developing datasets for various data science initiatives. Exceptional communication skills and advanced analytical abilities are essential for success in this role.
Full-time|$175K/yr - $215K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, which serves as a vital pillar of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on their primary operational cost: fuel. Additionally, we connect our network of fuel stop partners with new, hard-to-reach clients. As a rapidly expanding marketplace, we are on the lookout for a passionate, customer-focused individual to join our dynamic team.In this pivotal role as a Senior Data Engineer, you will be instrumental in crafting the data infrastructure that enables faster and smarter decision-making across our organization. You will design, scale, and manage our modern, cloud-based data platform, ensuring that our data flows seamlessly and is effectively utilized by teams throughout the company.This is a rare opportunity to establish data standards, influence technical direction, and guarantee the quality, consistency, and scalability of the data platform relied upon by hundreds of thousands of small and medium-sized trucking companies each day.Our Palo Alto office offers a hybrid work environment that encourages collaboration in the office while also providing the flexibility to work remotely.
Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.
The banking industry is undergoing a transformation, and customers are demanding interactions that are seamless, personalized, and instantaneous.We are developing a comprehensive banking assistant that millions of consumers across the U.S. can utilize to manage transactions with all financial institutions. Over time, this assistant will automatically guide users towards their financial objectives. Powered by our innovative BankGPT platform, this assistant aims to revolutionize outdated legacy systems within financial institutions and dominate the entire customer experience stack, unlocking a $200 billion market opportunity and potentially superseding several publicly traded companies.Our ultimate objective is to enhance the financial well-being of millions of consumers.With two-thirds of Americans living paycheck to paycheck, 50% having less than $500 in savings, and only 17% being financially literate, we are committed to automating financial well-being to address this challenge.Role Overview:As the Chief of Staff, you will serve as a strategic partner to the CEO, fostering focus, alignment, and execution throughout the organization. You will be instrumental in scaling the company, defining cross-functional priorities, and ensuring operational excellence as we pursue growth.This high-impact, high-visibility position is perfect for an individual who thrives in uncertainty, possesses a strong strategic mindset, and can implement quickly. You will collaborate closely with the executive team to drive strategic initiatives, enforce accountability, and convert strategy into tangible results.Your responsibilities will encompass a range of activities, from strategic initiatives that facilitate organizational scaling to tactical and operational tasks—including managing the CEO’s inbox, scheduling meetings, prioritizing communications, and ensuring the CEO’s focus on the most critical matters.
Join us in a hybrid work setting at our Palo Alto office, where you'll be expected to work on-site every Tuesday and Thursday.Why is this role exciting?Become an integral part of the iOS development team at Grindr as we build the future of our app! You will tackle complex challenges, engage with cutting-edge technology, collaborate with a supportive and talented team, and help us maintain our position as the leading social media platform for the LGBTQ community.What will you do?Collaborate with a diverse, cross-functional team across various time zones to enhance the Grindr user experience.Navigate multiple projects while embracing ambiguity to foster innovative, high-level thinking.Drive innovation by leveraging data-driven insights to integrate new technologies, architectures, and workflows.Enhance your team's technical skills by introducing new tools and methodologies.Utilizing Swift, Xcode, RxSwift, Combine, Async/Await, SwiftUI, Bitrise, Fastlane, and GitHub, you will evolve and maintain our software architecture to meet current and future demands for consumer-facing mobile products, supporting our product roadmap.What we appreciate in youYou are a proactive leader who takes initiative and can drive change across the organization.You possess a minimum of 6 years of experience in developing complex iOS applications.Your technical expertise inspires creativity and innovation among your peers.You have a strong background in product leadership and technical decision-making, skillfully balancing product needs with code quality.You have experience collaborating with various business stakeholders, including c-suite executives and VPs.You can dive deep into coding while also mentoring your team on long-term projects.A solid understanding of software engineering best practices and design patterns such as MVVM, Coordinator, and one-way data flow is essential.
Join mindrobotics as a Data Engineer, where you will play a pivotal role in developing the data systems that drive large-scale AI training for robots. This position is centered around transforming extensive data into well-organized, high-quality datasets. You will take ownership of data pipelines, labeling workflows, storage, and cloud infrastructure from start to finish. If you thrive in scaling environments, enjoy creating bespoke tools when existing solutions are inadequate, and aim to enhance data reliability for rapid iteration, you'll find a welcoming home here. Collaborate closely with researchers and engineers to ensure that our data propels swift and impactful advancements in robot training and evaluation.
About UsOdyssey is a cutting-edge AI laboratory that is at the forefront of developing general-purpose world models—an innovative form of multimodal intelligence that is set to revolutionize consumer, enterprise, and intelligence applications. Our groundbreaking models, such as Odyssey-2 Pro, represent the next significant leap in AI technology.Position OverviewWe are seeking a dynamic Chief of Staff to serve as a crucial partner to our CEO and CTO. This role goes beyond traditional support or administrative duties, placing you in a position of influence and trust within our organization. As a strategic thinker with a founder's mindset, you will navigate the complexities of strategy, fundraising, research, and execution to help guide the company through a pivotal growth phase.Your ResponsibilitiesPartnership with Leadership: Collaborate with the CEO and CTO, serving as a trusted advisor while driving forward business objectives.Proactive Risk Management: Anticipate potential challenges and uncover opportunities that can propel the business forward.Fundraising and Board Management: Partner with the CEO to craft fundraising strategies, investor narratives, and prepare essential materials for board meetings.Business Operations: Lead strategic planning and prioritize initiatives that align with our organizational goals.
Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.
Simile develops AI simulations that capture complex societal dynamics by using generative agents modeled on real human behavior. The company aims to help organizations make more responsible decisions by offering realistic simulations, similar to how pilots or surgeons train before facing real-world situations. Simile is building a Foundation Model to predict human behavior in a variety of contexts and at different scales. The company is supported by $100 million in funding from investors including Index Ventures, Hanabi, A*, and Bain Capital Ventures. Role overview The Member of Technical Staff (Research) joins the Research team in Palo Alto. This position involves hands-on work throughout the lifecycle of Simile’s human behavior models: training, evaluation, deployment, and monitoring. The team bridges research and product, with a strong focus on experimental rigor and system reliability to support critical decision-making. Researchers are expected to take full ownership of their projects, from designing experiments to deploying models in production. The work has a direct impact on real-world applications. Key responsibilities Redesigning data schemas: Overhaul foundational data architecture by redefining schemas across multiple databases to strengthen system capabilities. Improving computational performance: Refactor algorithms in internal data pipelines, resolving bottlenecks to enable efficient, large-scale model training. Building and managing infrastructure: Design and operate model training infrastructure, write high-performance code for NVIDIA hardware, and ensure smooth data ingestion and workflow efficiency. Developing scientific evaluations: Create advanced evaluation tools that extend beyond standard benchmarks to verify model reliability and accuracy. Location This position is based in Palo Alto.
At Array Labs, we are at the forefront of innovation, developing the world's most advanced radar imaging satellites. Our mission is to create a precise, continuously updated 3D map of the Earth, providing governments and commercial organizations with essential insights into the physical world. We manage the entire system lifecycle, from on-orbit hardware to ground software and data processing, empowering us to control performance, reliability, and the speed of enhancements.The Chief of Staff to the CEO is a dynamic execution role that requires high energy and strategic thinking. Reporting directly to the CEO, you will collaborate closely with the Engineering leadership and R&D teams to propel CEO-priority development projects from conception through to delivery. You will establish a rigorous weekly operational rhythm, clearly defining ownership and milestones, identifying risks and dependencies early on, and facilitating decisive actions to ensure smooth execution. Your role will also encompass synthesizing updates into concise, executive-level reports for leadership and the organization.This position is best suited for a high-performing operator with outstanding judgment, exceptional communication skills, and a proven history of expanding responsibilities rapidly. It is a hands-on role that demands high ownership and exposure, and it is distinct from traditional Executive Assistant duties or PMO-oriented processes. While strong analytical skills and clear communication materials are valued, the primary focus here is on driving tangible execution and achieving delivered outcomes.
Full-time|$190K/yr - $225K/yr|Hybrid|Palo Alto, CA
Mudflap is revolutionizing the $800 billion trucking industry, a crucial component of the U.S. economy. Our innovative payment solutions empower truckers to save significantly on fuel, their largest operational cost, while simultaneously offering our fuel stop partners access to a new and hard-to-reach clientele. As a rapidly expanding marketplace, we are seeking a passionate and customer-focused individual to join our dynamic team on this exciting journey.About the RoleAt Mudflap, we are developing a robust data-driven engine that will inform decisions across all facets of our organization. We are in search of experienced Senior and Staff Data Scientists to join our small yet highly impactful analytics and machine learning team. In this role, you will collaborate closely with product, engineering, operations, and cross-functional partners to create data products, develop machine learning models, conduct experiments, and provide insights that will directly drive our growth and product strategy.Work Location: This position is based in Palo Alto, CA and offers a hybrid work model, blending in-office teamwork with remote flexibility.To support our team, we provide:Commuter benefits to facilitate your travelLunches and snacks to keep you energizedA collaborative, high-growth environment where you will work alongside talented colleagues from various departmentsWe are hiring for three primary domains—Product, Risk, and Growth—allowing you to apply your expertise where your passion lies:What You’ll DoProduct:Influence strategic product decisions through advanced analytics and experimentation. Design and conduct A/B tests, create predictive models, and derive data-driven insights that will significantly impact product roadmaps and business outcomes. Collaborate closely with product managers, engineers, and leadership to uncover opportunities, assess feature success, and enhance user experiences.Risk:Assess, model, and mitigate credit and fraud risks within our platform. Enhance our credit risk underwriting capabilities, and develop predictive models aimed at minimizing fraud losses. Work alongside Product, engineering, and operations teams to implement scalable risk management strategies.Growth:Generate strategic growth insights through sophisticated data architecture and advanced analytics. Lead the design and implementation of growth-focused initiatives that drive business expansion.
