Applied Scientist at Opendoor | Seattle

Join Opendoor as an Applied Scientist, where you will leverage advanced analytical skills and data-driven methodologies to solve real-world challenges in the real estate market. In this role, you will collaborate with cross-functional teams to develop innovative solutions that enhance our products and services.

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.

Join our innovative team at Opendoor as a Data Scientist, where you'll leverage your analytical skills to drive data-informed decisions. Your expertise will contribute to building data models, conducting statistical analyses, and extracting insights that will enhance our products and services.

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.

At Opendoor, we are reimagining the real estate industry with cutting-edge technology and innovative practices. We are looking for a talented MLOps Software Engineer specializing in pricing to join our dynamic team in Seattle. In this role, you will leverage your expertise in machine learning operations to enhance our pricing models, ensuring they are robust, scalable, and efficient.As a member of our engineering team, you will collaborate closely with data scientists and product managers to develop solutions that optimize pricing strategies and improve user experiences. We seek forward-thinkers who are passionate about using technology to drive significant business impact.

Join Opendoor as a Data Scientist in Seattle, where you will leverage data-driven insights to shape the future of real estate transactions. Your work will directly impact business decisions and enhance customer experiences. Collaborate with cross-functional teams to develop innovative solutions that utilize advanced analytics and machine learning techniques.

Truveta is developing a data platform led by health providers, focused on using data to improve patient outcomes. The company’s mission centers on helping researchers advance discoveries, giving clinicians access to broader expertise, and supporting families in making informed healthcare decisions. The team draws on experience in healthcare, software, and large-scale data, united by shared values. More about these values can be found on Truveta’s careers page. Work location and flexibility Truveta’s roots are in the Pacific Northwest, but the team now spans the United States. The company supports a hybrid approach: team members can work from anywhere, with at least one onsite meeting required each year. Most meetings follow Pacific Time Zone hours, rarely running past 3 PM PT. Occasionally, meetings may be scheduled between 8 AM and 6 PM PT. Who thrives at Truveta People who enjoy tackling complex challenges in health and technology tend to succeed here. Truveta values hands-on contributors who collaborate well and seek meaningful work. Those drawn to mission-driven projects and the chance to build a fulfilling career may find a strong match at Truveta.

Senior Applied Research Scientist – Oncology Join Truveta, the pioneering health provider-led data platform with a mission to Save Lives with Data. We aim to accelerate research for cures, empower clinicians with expertise, and assist families in making informed healthcare choices. Achieving our ambitious goals requires a diverse team of talented individuals who possess a unique blend of healthcare, software, and big data experience, all aligned with our core values. Founded in the Pacific Northwest, Truveta has a flexible hybrid model allowing employees to work from various locations across the country. However, in-person attendance is mandatory for two weeks each year during our Truveta Planning Week. To optimize overall team productivity, we schedule meetings primarily in the Pacific Time zone, avoiding recurring meetings post 3 PM PT, with ad hoc meetings occurring from 8 AM to 6 PM PT. #LI-remote Who We Are Looking For At Truveta, we are rapidly building a dynamic and diverse team to address complex health and technical challenges. We are seeking problem solvers who are collaborative, passionate, and ready to make a difference. If you are looking for a meaningful opportunity to contribute to a mission-driven team and develop a fulfilling career while enjoying the process, Truveta might be your ideal match. This Opportunity We are in search of a motivated and innovative Applied Research Scientist with a focus on oncology to join our internal research organization, Truveta Research. This team is dedicated to showcasing the potential of Truveta through the production of high-quality, trusted research. As an Applied Research Scientist, you will engage in close collaboration with a wide range of partners across communications, marketing, engineering, and product disciplines.

Join Opendoor's dynamic team as an Infrastructure Engineer, where you'll play a pivotal role in designing, implementing, and maintaining our robust infrastructure systems. You will collaborate with cross-functional teams to enhance our infrastructure reliability and efficiency, ensuring seamless operations that support our mission of simplifying real estate transactions.

Join Opendoor as a Backend Software Engineer focused on Pricing, where you will play a pivotal role in shaping the future of real estate transactions. You will leverage your technical expertise to develop and optimize backend systems that drive pricing strategies, ensuring our platform delivers accurate and timely information to our users.

Join Opendoor as a Software Engineer focused on Financial Systems, where you will play a crucial role in enhancing our financial technology infrastructure. You will collaborate with cross-functional teams to design, develop, and implement software solutions that drive our financial operations.As part of our team, you will have the opportunity to work on innovative projects that impact the way we operate and serve our customers.

Join Opendoor as a Software Engineer focused on Security Engineering, where you will play a pivotal role in developing and implementing cutting-edge security solutions. Your expertise will help us safeguard our platforms and protect user data, contributing to a safer home buying and selling experience.

Join Opendoor as a Full Stack Software Engineer, where you'll have the opportunity to work on innovative solutions that redefine the real estate experience. You will be responsible for designing, developing, and maintaining complex applications that help streamline the buying and selling process. Collaborate with a diverse team of engineers, product managers, and designers to deliver high-quality software that meets our users' needs.

About the Role Opendoor Technologies Inc. is hiring an Agentic Analytics Engineer in Seattle, Washington. This position focuses on improving real estate transactions by making them more seamless and transparent. What You’ll Do Work with teams across the company to design and implement analytics solutions Use analytical skills to support data-driven decisions Help optimize systems and processes for better efficiency and effectiveness Provide insights that influence product strategies and enhance customer satisfaction Location Seattle, Washington, United States

Join Stripe, a leading financial technology company, as a Data Scientist where you will leverage data to drive insights and influence strategic decisions. This role involves collaborating with cross-functional teams to analyze complex data sets, build predictive models, and contribute to innovative solutions that enhance our products and services.

About GalvanickGalvanick is at the forefront of cybersecurity, dedicated to safeguarding the industrial sector from cyber threats. Our innovative threat detection platform is designed to protect Operational Technology (OT) systems and networks from both criminal attacks and state-sponsored threats. Join a dynamic startup environment where passionate professionals work collaboratively to tackle significant cybersecurity challenges. We are proud to be supported by leading investors such as Founders Fund, Village Global, and MaC Venture Capital.About the RoleWe are on the lookout for a skilled Data Scientist & Developer to join our team. In this hybrid role, you will collaborate with cybersecurity experts, enhancing their analytical capabilities. You will contribute directly to our mission of securing national infrastructure through advanced analytics and software development to identify cyber threats affecting critical systems. This position offers a unique opportunity to apply your data science expertise while actively engaging in coding and enhancing our production codebase.Your responsibilities will include analyzing complex security datasets, developing analytical tools, and supporting our detection engineering processes. If you are eager to simplify challenges and provide effective solutions for our customers, we would love to hear from you.What You Will Do* Collaborate with Detection Engineers to translate detection needs into data and analytical tool requirements.* Enhance our data platform and develop tools that fulfill those requirements.* Create methods to assess detection accuracy and minimize false positives.* Design data models to identify behavioral patterns indicative of cyber threats in OT settings.* Conduct exploratory data analysis on security incidents to reveal hidden correlations and attack strategies.* Generate key metrics and KPIs to evaluate detection effectiveness and data utilization; provide insights on data pipeline enhancements and integration of new data sources.

Join Aircall, a leading unicorn in AI-powered customer communication solutions, trusted by over 22,000 businesses globally to enhance revenue, accelerate issue resolution, and scale customer-facing teams. We are revolutionizing customer interactions by integrating voice, SMS, WhatsApp, and AI into a unified platform.Our growth is driven by a core principle: empower teams to work smarter, not harder. With innovations like our AI Voice Agent for automating routine calls, AI Assist for optimizing post-call tasks, and AI Assist Pro for providing real-time support, we enable teams to achieve higher revenue and faster resolutions confidently.Headquartered in Paris, with a strong North American hub in Seattle, Aircall also has teams in Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We have developed a beloved product and a high-growth business, supported by top-tier investors and driven by rapid advancements in AI across various product lines.At Aircall, you'll be part of a dynamic and ambitious organization. We prioritize product excellence and execution, allowing for quick decision-making and significant impact.Our Work Culture: We are deeply customer-focused, data-informed, and committed to delivering valuable results. We value ownership, continuous learning, and thoughtful agility. If you excel in a collaborative, fast-paced environment where trust and impact are paramount, you're in the right place.We are seeking a Senior Software Engineer to develop intelligent systems that automate workflows across various internal departments at Aircall. This position merges advanced software engineering expertise with a passion for understanding and automating the workflows of stakeholders in Marketing, Sales, Customer Support, Customer Success, Finance, HR, Legal, Engineering, Product, and other functional areas utilizing AI agents. Ideal candidates should possess curiosity, an affinity for solving complex challenges, and practical experience deploying LLMs in production.

Location Details: At GoDaddy, our vision of the future of work varies by team. While some teams are fully office-based, others enjoy a hybrid setup—working remotely on selected days and in the office on others. Some teams operate entirely remotely. This particular role is classified as a hybrid position. You will split your time between remote work from home and in-office collaboration, so proximity to the office is essential. The frequency of in-office work may range from several times a week to just once a month or quarter, as determined by team leadership. The hiring manager will provide more details about the hybrid work structure for this team. Please note, this position is not available for candidates residing in Alaska, Mississippi, North Dakota, or the Virgin Islands. Join Our Innovative Team... As part of the Airo Growth and Innovation division at GoDaddy, we are on the lookout for a Principal AI/Machine Learning Scientist to join our core Applied ML team. Our mission is to cultivate and expand a community of ML scientists and engineers dedicated to learning, sharing, and growing together. We are focused on deeply understanding all major business units and strive to empower business outcomes through the use of AI and cutting-edge ML algorithms. This core Applied AI and Machine Learning team leverages large-scale data to enhance various business functions. Our objective is to develop a seamless navigation experience across different channels and web pages, simplifying the shopping journey for entrepreneurs worldwide and allowing them to efficiently find what they need on our platform. We are seeking a seasoned AI/ML Scientist to spearhead research and development in Agentic AI systems and Reinforcement Learning (RL). This role will focus on crafting intelligent agents that are capable of autonomous decision-making, planning, and reasoning within complex settings. You will operate at the crossroads of large-scale foundational models, multi-agent systems, and RL-based optimization, driving innovation for next-generation AI products. Key Responsibilities: Lead the research and development of advanced Reinforcement Learning algorithms, including policy optimization, hierarchical RL, and multi-agent RL systems. Design and implement agentic architectures to facilitate autonomous reasoning, planning, and sophisticated tool utilization. Pioneer the integration of Large Language Models with RL to create transformative AI solutions.

About Outpace BioOutpace Bio is at the forefront of revolutionizing cell therapy for solid tumors, leveraging cutting-edge AI-driven protein design. Our mission focuses on programming immune cells to enhance their functionality within patients, addressing critical challenges such as inadequate tumor access, limited cell survival, antigen escape, and dose-related toxicity. By developing and integrating modular, plug-and-play technology assets, we are creating cell therapies that promise unprecedented efficacy, fundamentally transforming the interaction of engineered T cells with cancer and the immune system to achieve life-altering results. Our diverse team of scientists, engineers, coders, and cell therapy developers operates at the vanguard of computational protein design, synthetic biology, and immunology. Together, we are reimagining cellular functions to unlock new therapeutic avenues.Our Commitment to DiversityWe recognize that high-performing teams thrive on diverse backgrounds and experiences. At Outpace Bio, we are dedicated to fostering an inclusive culture for all employees. We encourage applications from individuals who feel they could contribute to our mission of curing diseases by pushing the boundaries of biology, even if they do not meet every qualification listed.Our MomentumIn August 2024, Outpace Bio successfully raised an oversubscribed $144 million Series B financing round, led by RA Capital Management and backed by a distinguished group of life science investors. This funding will accelerate our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by our proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is on track for IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment will also enable us to expand our pipeline, allowing the development of additional transformational therapies.

Since our inception, Possible Financial has transformed the landscape of small-dollar loans, providing over $1 billion in funding to more than 1.5 million customers, issuing over 4 million loans, and saving our clients more than $650 million.At Possible, we are pioneering a new model in consumer finance, one that empowers our customers to avoid debt instead of profiting from it. As a Public Benefit Corporation, our mission is to foster economic mobility in communities through affordable credit solutions that enhance financial health for generations to come. Join the team that is realizing this vision.Team OverviewThe data science team is integral to our rapidly growing organization, building the models, tools, and analytical frameworks that drive our decision-making, risk monitoring, and operational efficiency at scale. We are looking for a Data Scientist to bridge analytics, model governance, and internal tooling, enhancing our ability to support the teams and systems that enable Possible to operate swiftly and effectively.Role ResponsibilitiesYou will establish a structured framework for assessing new data sources and modeling methods. Your analyses will clearly outline assumptions that influence our data vendor budget and investment strategies. You will develop model monitoring and governance infrastructure, transitioning it from a reactive compliance measure to a proactive resource. Working collaboratively across departments, you will create analytical tools and automations that alleviate bottlenecks, allowing teams to access data independently and derive insights without frequent reliance on advanced analytics.