Join our innovative team at Applied Physics as a Data Scientist, where you will work with an eclectic mix of data types. You will collaborate closely with a dynamic group of computer scientists and engineers, driving advancements in data analysis, machine learning, and information visualization.Key Responsibilities:Partner with scientists and researchers to craft cutting-edge algorithms and software solutions addressing complex challenges.Evaluate data science research needs for Applied Physics and the Advanced Propulsion Laboratory.Regularly collaborate with fellow developers to exchange knowledge and recommendations, ensuring team deliverables are met.Independently design technical solutions while contributing as part of a multidisciplinary team to analyze and implement software based on client needs.Create and integrate components for an operational information and knowledge discovery system.

About Future Secure AI Future Secure AI develops artificial intelligence solutions that address complex problems for global enterprises. The company values bold thinking, rigor, and curiosity, guided by its BRAVER values. Leadership encourages open communication and supports professional growth, recognizing that company success is tied to individual development. Role Overview The Senior Data Scientist - Applied Science joins the advanced analytics and AI division in Austin, TX. This role focuses on designing, building, and deploying machine learning systems, with a strong emphasis on large language models (LLMs) to tackle real-world challenges for enterprise clients. What You Will Do Design and implement advanced machine learning solutions, especially those involving LLMs Deploy AI systems that address significant business problems for clients across different sectors Influence the company’s AI strategy and contribute to a responsible, scalable approach Mentor junior team members and foster a culture of technical excellence and creativity What Sets This Role Apart Direct impact on AI systems used across industries Opportunities to help shape strategic direction and best practices Environment that values lifelong learning and open collaboration

Cresta is dedicated to transforming every customer interaction into a strategic advantage by harnessing the full potential of the contact center. Our innovative platform fuses the strengths of artificial intelligence and human insight, enabling contact centers to uncover valuable customer insights, automate dialogues and inefficient workflows, and empower team members to operate more effectively. Founded by the esteemed Stanford AI lab's co-founder and chairman Sebastian Thrun, who has pioneered projects like Google X, Waymo, and Udacity, our leadership team includes CEO Ping Wu, co-founder of Google Contact Center AI, and Tim Shi, an early member of OpenAI.Our elite team comprises AI and ML specialists, market leaders, and top investors from firms such as Andreessen Horowitz, Greylock Partners, and Sequoia, along with former AT&T CEO John Donovan. We proudly serve a range of esteemed clients including Intuit, Cox Communications, Hilton, and Carmax, and have been featured by Forbes and Bain Consulting as one of the leading private AI firms globally.Join us in our exciting mission to reshape the workforce with AI. The future of work is unfolding at Cresta.

Join The Trade Desk as an Applied Scientist II, where you will leverage your analytical skills to drive impactful data-driven decisions. In this role, you will collaborate with cross-functional teams to develop and implement advanced algorithms that enhance our advertising solutions. Your work will focus on transforming complex data into actionable insights, contributing to the innovation of our platform.

Location: Austin, TXEmployment Type: Full-time, In-OfficeCompensation: Total compensation between $250,000 - $360,000. Salary of $180,000-$250,000 annually plus equity.Department: EngineeringPosition Overview:As a Senior Applied Data Scientist at Steadily, you will be pivotal in driving our Engineering team's efforts. You will analyze large datasets to identify trends and insights, leveraging refined data and internal machine learning models to enhance our product outcomes and operational efficiency. Your responsibilities will include building, evaluating, and deploying machine learning models into production, ensuring their quality and accuracy over time. We work with diverse data types, including public, proprietary, and extensive image datasets. This role offers a high level of autonomy and positions you as a trusted technical leader addressing critical business challenges. Since Steadily is in the early stages of exploring the potential of AI and ML, this position is particularly suited for scientists who thrive in ambiguous settings and are eager to determine the most impactful areas of focus.This is a full-time, in-office position based in Austin, TX.Key Responsibilities:Develop and enhance data sets and models focusing on scalability, quality, and maintainability, employing the right techniques to address business needs. Areas of focus may include estimating property risks and accurately assessing property costs using aerial image analysis.Lead the exploration and implementation of new scientific applications within our product ecosystem to improve risk prediction on both the individual and aggregate levels.Produce clean, maintainable R/Python code, upholding high standards for quality and best practices.Collaborate closely with Engineering, Product, Operations, and Business teams to design robust solutions across our systems.Deliver comprehensive metrics and visibility into model quality and performance, ensuring a rigorous scientific evaluation.

About the RoleJoin Opendoor as an Applied Scientist, where you'll tackle some of the most challenging quantitative problems in the industry. This position centers on structural modeling, econometrics, optimization, and decision-making under uncertainty, focusing on applications such as pricing strategies, resale tactics, demand forecasting, and risk management.Your expertise will be vital in enhancing our valuation and pricing ecosystem. We seek a candidate with a strong modeling intuition who can execute hands-on solutions for our low-margin, high-stakes business—where even minor adjustments lead to significant outcomes.You'll engage in tasks such as modeling post-listing demand, estimating price elasticity, designing experiments, constructing structural models, and developing optimizers to refine our decision-making across products and inventory.As part of our agile team, you will have the chance to influence both modeling strategies and the application of these systems in production-level decision-making.

About the PositionJoin OpenAI as an Applied Data Scientist, focusing on the critical analysis of unit economics to drive sustainable growth and establish the company as a leader in impactful innovation.In this role, you will spearhead the creation of advanced causal inference and data science models aimed at predicting and quantifying customer lifetime value (LTV). Your ability to translate complex data insights into strategic recommendations will be crucial for guiding our growth initiatives. This position demands a blend of technical expertise and executive communication skills.This opportunity is based at our San Francisco headquarters, with a flexible hybrid work model (three days in the office per week). Relocation assistance is provided.Your VisionDevelop robust causal inference and predictive analytics capabilities to assess and forecast LTV across various customer segments (B2C and B2B), and measure the incremental effects of diverse actions or product features on customer LTV.Craft customer “happy paths” by identifying optimal adoption journeys that maximize lifetime value while ensuring customers derive the full benefits from our ecosystem.Evaluate price elasticity to inform product packaging, monetization strategies, and pricing models.Your ResponsibilitiesCollaborate with cross-functional teams (Finance, Product, Data Engineering, Go-to-Market, and other Data Science teams) to develop causal inference and predictive models that influence key business decisions.Design and maintain LTV models across various product lines and customer cohorts.Create scalable frameworks and models that make economic insights accessible to leadership and functional teams.Support strategic pricing and investment decisions with thorough analytical and causal evidence.Lead cross-functional data science initiatives, ensuring analytical precision, clarity, and timely execution.Ideal Candidate ProfileExceptional executive communication skills — ability to simplify complex analyses into clear, actionable insights for leadership.Technical proficiency — expertise in ROI analysis, causal inference, statistical modeling, and ML predictive models; strong command of Python and SQL.Strategic acumen — capacity to connect analytical insights to tangible business outcomes, providing the “so what” that drives leadership decisions.

Join Azumo, a forward-thinking company, as we seek a passionate Data Scientist / Machine Learning Engineer to enhance our data and analytics framework. This is a FULLY REMOTE position, with a preference for candidates based in Latin America. Proficiency in English at a B2/C1 level is required.In this role, you will collaborate with a vibrant team of skilled data scientists specializing in big data analytics and applied AI. If you are eager to design and implement cutting-edge machine learning and deep learning models, especially in the Generative AI domain, this position is tailored for you. We are looking for a professional adept in Python for production-level initiatives, with a strong background in machine learning and deep learning techniques including CNNs and Transformers, and practical experience with PyTorch.As a versatile Machine Learning Engineer / Data Scientist, you will not only conceptualize and prototype innovative ML/DL models but also deploy them end-to-end, seamlessly integrating your solutions into our data architectures and services. You will collaborate closely with data engineers, software developers, and product owners to ensure the development of high-quality, scalable, and maintainable systems.

Senior Clinical Data Scientist - Applied Intelligence SolutionsTruveta stands as the world’s pioneering health provider-led data platform, dedicated to the vision of 'Saving Lives with Data.' Our mission focuses on empowering researchers to accelerate the discovery of cures, equipping every clinician with expert insights, and guiding families to make well-informed healthcare decisions. To realize this ambitious vision, we are assembling a remarkable team of talented individuals with a unique blend of healthcare, software, and big data expertise who resonate with our company values.Truveta, rooted in the Pacific Northwest, embraces a flexible hybrid working model, allowing our diverse team to work from various locations across the country. In-person attendance is required at least once a year for an onsite meeting.To enhance overall team productivity, we optimize meeting hours primarily in the Pacific Time Zone, avoiding recurring meetings after 3 PM PT, while ad hoc meetings may occur from 8 AM to 6 PM PT.Who We Are Looking ForTruveta is in the process of building a talented and diverse team aimed at addressing intricate health and technical challenges. We seek problem solvers who are passionate, collaborative, and eager to take initiative while making a meaningful impact. If you aspire to engage in purposeful work, join a mission-driven team, and cultivate a fulfilling career while enjoying the journey, Truveta could be your ideal workplace.

Join the Thread AI Team!At Thread AI, we are committed to creating an AI-native workflow orchestration engine aimed at simplifying infrastructure for both enterprises and public sector organizations striving to maximize their AI capabilities. Our headquarters is located in the heart of New York City, where we are building a dynamic team of AI, product, and engineering professionals with a proven history of successfully designing and executing complex workflows and infrastructures.Our Engineering CultureWe take pride in our small yet highly specialized technical team that manages engineering, research, design, product, and operations. We believe that a flat organizational structure and a culture of collaboration empowers us to innovate faster and deliver superior products compared to larger, hierarchical organizations.About the PositionWe are seeking a talented Applied Data Scientist with a solid background in data engineering principles. This pivotal role will involve the design, development, and maintenance of efficient data pipelines, alongside optimizing data workflows to ensure the reliability and scalability of our data infrastructure. The ideal candidate will possess a blend of technical skills in data engineering, programming languages, and the ability to collaborate effectively across multidisciplinary teams.

Join Thumbtack as an Applied Scientist in our Customer Growth team, where you will leverage data analysis and machine learning to enhance our customer acquisition strategies. You will be responsible for conducting experiments, building models, and interpreting results to drive actionable insights. Your work will directly impact our growth trajectory and customer engagement.

Draup, based in San Francisco, is an AI company backed by Series A investors. The team builds an intelligence platform that supports global enterprises in workforce and go-to-market planning. Draup’s platform processes massive volumes of data, including over 1 billion job descriptions and 850 million professional profiles, and draws from more than 100 labor databases. Clients include more than 250 enterprises, with five of the Fortune 10 among them. The Silicon Valley engineering group is expanding and seeks experienced data scientists who are interested in advanced AI research and product development. This small team focuses on projects with significant impact across Draup’s offerings. What you will do Build and maintain machine learning models for classification, extraction, trend analysis, and predictive scoring using large structured and unstructured datasets. Design and execute experiments and benchmarks to measure model accuracy, address bias, and validate results at scale. Apply NLP techniques such as embeddings, named entity recognition (NER), and text classification in production data pipelines. Collaborate with engineering teams to transition models from research to production, including monitoring and drift detection. Develop evaluation frameworks to assess AI-generated outputs across multiple product areas.

About the RoleJoin our dynamic team at Opendoor as an Applied Scientist, where you will tackle complex quantitative challenges. Your primary focus will be on structural modeling, econometrics, optimization, and decision-making in uncertain environments, influencing key areas such as pricing strategies, resale dynamics, demand estimations, and risk management.This position plays a pivotal role in enhancing our pricing and valuation ecosystem, and we seek a candidate who can merge strong modeling insight with practical execution to develop solutions in a high-stakes, low-margin environment where even minor enhancements can lead to significant outcomes.You will engage in tasks such as modeling post-listing demand, analyzing price elasticity, designing experiments, constructing structural models, and creating optimizers to enhance our decision-making processes across products and inventory.As a part of our agile team, you will have the opportunity to influence both the modeling strategies and their application in real-world decision-making.

Anthuria creates AI tools for skilled nursing facilities, turning detailed clinical notes into usable insights that support patient care, reimbursement, and compliance. The team includes healthcare industry veterans who understand the real-world challenges of clinical operations. With support from a healthcare-focused family office, Anthuria already works with 180 facilities across more than 10 states. Collaboration, curiosity, and technical excellence shape Anthuria’s culture. Team members have a direct influence on technical direction, company practices, and the products themselves. The company values open communication and aims to deliver practical value to clients. Role overview The Senior AI Applied Scientist role is based in New York City. This position is part of Anthuria’s early-stage technical team, offering the chance to influence both product and culture. What you will do Develop AI-driven features: Collaborate with cross-functional teams to design and build AI-powered tools that improve post-acute care operations. Write production-grade Python code and combine software engineering with machine learning to deliver reliable solutions. Manage evaluation frameworks: Define evaluation methods and metrics for AI systems. Test, monitor, and assess model performance to support rapid iteration and high-quality product delivery. Analyze requirements and user behavior to align with strategic goals. Foster a metrics-driven culture: Build data pipelines, product analytics, and experimentation processes that keep the team focused on measurable results. Communicate technical concepts clearly to stakeholders from various backgrounds. Ensure compliance and data security: Integrate security and HIPAA-grade compliance into every AI system, pipeline, and experiment to protect sensitive patient data as Anthuria grows. Advance AI innovation: Stay active in research, learn from customer workflows, and contribute ideas to improve Anthuria’s AI solutions.

Join LinkedIn as a Senior Staff Applied Scientist specializing in Infrastructure Data Science. In this pivotal role, you will leverage your expertise to drive innovation and enhance the efficiency of our infrastructure systems. You will collaborate with cross-functional teams, developing cutting-edge data solutions that significantly impact our global user base.Your responsibilities will include conducting advanced data analyses, modeling complex systems, and implementing machine learning algorithms to optimize performance. You will also mentor junior scientists and contribute to a vibrant research culture, ensuring that LinkedIn remains at the forefront of technology and data science.

WHAT YOU’LL DOJoin Viant’s pioneering Machine Learning team as we revolutionize the Ad Tech industry through advanced machine learning and AI automation. We are dedicated to replacing manual processes in digital ad creation, optimization, and measurement with autonomous, scalable systems that handle hundreds of millions of events every day. We are on the lookout for an exceptional Principal Applied Scientist who will spearhead innovative advancements in applied machine learning. In this key role, you will define our end-to-end AI strategy, craft the applied science roadmap, and develop state-of-the-art models in natural language processing (NLP), deep learning, and large-scale AI systems. Your expertise will enhance AI capabilities, driving significant business impact while cultivating a research-focused, data-driven culture at Viant.

Senior Applied AI Evaluation ScientistLocation: Remote (U.S.)Team: AIML Quality — reporting to Engineering leadershipLevel: Senior (Individual Contributor)About JumpAt Jump, our mission is to empower financial advisors, firms, and clients to flourish in the era of artificial intelligence. We streamline meeting preparation, note-taking, compliance documentation, CRM updates, client recaps, and follow-up tasks, enabling advisors to manage meetings in a matter of minutes rather than hours. Since our inception in January 2024, Jump has expanded to over 30,000 users across various firms, from independent practitioners to large enterprise RIAs and broker-dealers, including collaborations with renowned partners like LPL Financial, Sanctuary Wealth, and Osaic.Jump is a Series A company backed by $30 million in venture capital from leading investors such as Battery Ventures, Citi Ventures, Sorenson Capital, and Pelion Venture Partners. Our diverse team of over 100 includes industry leaders from prestigious organizations such as Google, Stripe, JP Morgan, Snowflake, Fidelity, BILL, Apple, Harvard, and Stanford.Our Core Values: Velocity, World Class, Direct and Kind with No Drama.About the RoleWe are seeking a highly skilled Applied AI Evaluation Scientist who operates at the crossroads of data science, information retrieval, machine learning, and product development. In this role, you will be responsible for ensuring the quality and reliability of our AI/ML systems by developing, implementing, and overseeing rigorous evaluation frameworks. Your primary focus will be optimizing our Agentic Retrieval-Augmented Generation (RAG) pipelines—enhancing the processes of chunking, embedding, retrieving, ranking, and generating outputs, while also evaluating other AI/ML systems within the organization.The ideal candidate will possess the insight to discern what merits evaluation and what does not, along with the statistical expertise to ensure that the evaluations conducted are robust, realistic, and actionable. A key aspect of this position involves balancing resource availability with velocity—understanding what metrics to track and how to measure them to foster improvements for our clients is essential.You will collaborate closely with our Product and Engineering teams. While your code may not be production-ready, it must achieve the intended results—think research-quality Python, clear documentation, and reproducible experiments, rather than fully developed microservices.

Role overview Coframe is looking for Applied Scientists based in the San Francisco Bay Area. This position focuses on transforming platform data into actionable insights and results. The work brings together reinforcement learning, experimentation, and systems for personalization or ranking. What you will do Build models and strategies that support customer growth with limited manual intervention Use reinforcement learning and experimentation methods to address practical challenges Convert raw data into recommendations that guide strategic choices Location This role is based in the San Francisco Bay Area.

Role overview Opendoor is looking for an Applied Scientist to join the Seattle team. This role is open to candidates from mid to principal levels. The position centers on applied machine learning and artificial intelligence, with a focus on improving the company’s valuation systems. The work directly supports more accurate and transparent pricing for customers. What you will do Develop and refine machine learning models that power Opendoor’s pricing and valuation systems Tackle a variety of machine learning challenges, such as multi-modal modeling and optimizing operations Work with both structured and unstructured data to strengthen decision-making processes Contribute to projects that influence how Opendoor delivers value to customers Location This position is based in Opendoor’s Seattle, Washington office.