Senior Research Scientist / Data Scientist

Join our innovative team at Comtech LLC as a Senior Research Scientist / Data Scientist. In this pivotal role, you will leverage your expertise in data analysis and scientific research to drive impactful solutions and insights. Collaborate with cross-functional teams to develop and implement advanced data-driven methodologies that support our strategic objec…

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.

Join our innovative team at Comtech LLC as a Senior Research Scientist / Data Scientist. In this pivotal role, you will leverage your expertise in data analytics and research methodologies to drive impactful insights and solutions. Collaborate with multidisciplinary teams to enhance our projects and contribute to groundbreaking advancements in technology.

Axon Enterprise, Inc. builds devices and cloud software focused on safety and justice. The company values collaboration, open communication, and diverse viewpoints. Each team member’s work contributes to Axon’s mission to Protect Life. Role overview The Principal Data Scientist joins the Office of the Chief Accounting Officer in Seattle. This is a hands-on role for someone with significant experience in finance and accounting. The focus is on delivering reliable, audit-ready data to support AI developers, process managers, decision-makers, and auditors across the company. Main responsibilities Develop analytics tools and data pipelines, applying AI to accelerate development. Contribute to large-scale projects such as M&A integration, ERP deployments, data remediation, and SOX compliance efforts. Work closely with teams in Controllership, Finance Operations, FP&A, Internal Audit, and Technology. Design and implement data architecture that supports AI, automation, and audit-readiness. Use AI-assisted development tools, including code generators and large language models, as part of daily work. Who will thrive This position fits someone who combines deep technical expertise with a solid background in finance and accounting. Success in this role comes from building analytics solutions and collaborating across departments to shape data strategies that support automation and compliance.

Docker is revolutionizing app development, empowering developers to concentrate on what truly matters. Our globally distributed team thrives on innovation and is committed to enhancing developer experiences. With a robust user base of over 20 million and an impressive 20 billion image pulls, Docker stands as the premier tool for constructing, sharing, and executing applications—trusted by both startups and Fortune 100 companies. As we expand rapidly, we're inviting talented individuals to embark on this exciting journey with us!We are in search of a Data Scientist to enrich our Data Insights team. In this pivotal role, you will leverage statistical methodologies and sophisticated analytical techniques to extract meaningful insights from our product and business data. Your understanding of product usage will be crucial in delivering actionable insights that shape our business strategies and guide feature development.This hands-on analytical position emphasizes independent execution, in-depth analysis, and the ability to translate complex data into straightforward business recommendations. You will collaborate closely with Product Managers, Executive Leaders, and Engineering teams to define essential metrics, assess product health, and facilitate data-driven decisions.To excel in this role, you must possess a solid foundation in statistics, advanced SQL expertise, and a proven track record in product experimentation and reporting tailored for a technical audience.

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.

Join Prosidian Consulting as a PPM Data Scientist/Statistician I in Seattle! We are seeking a detail-oriented and analytical individual with a passion for data science to support our project portfolio management initiatives. In this role, you will leverage your statistical expertise to analyze data trends, provide actionable insights, and contribute to decision-making processes that drive our business forward.

impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.

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.

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.

Location: SeattleTeam: Programmatic Experience Group Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group at impact.com. This position centers on designing and implementing machine learning models that improve yield, pricing, and inventory allocation across a large-scale programmatic marketplace. The work combines data science, platform engineering, and marketplace economics to drive measurable results. What you will do Architect and build machine learning models to optimize programmatic marketplace outcomes. Design and maintain data pipelines that support these models. Develop features to enhance model performance and accuracy. Deploy real-time inference systems to enable rapid decision-making. Influence the balance between advertiser performance and publisher monetization within the marketplace. Collaboration and ownership This is a high-ownership individual contributor role. The Senior Data Scientist works closely with Product, Data Science, and Programmatic Delivery Engine Engineering teams. The position offers significant autonomy and calls for both analytical rigor and practical machine learning engineering skills.

Join Prosidian Consulting as a PPM Data Scientist/Statistician II in Seattle, WA. We are looking for a passionate data scientist with a strong background in statistical analysis and project portfolio management (PPM). This role requires a detail-oriented professional who excels in data interpretation and has a knack for transforming data into actionable insights.

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.

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.

Join Stripe as a PhD Data Scientist Intern, where you'll have the opportunity to work alongside some of the brightest minds in technology and finance. This internship will challenge you to apply your advanced data analysis skills to real-world problems, supporting innovative projects that enhance our payment solutions and drive business insights.

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.

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.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to revolutionizing drug discovery and development through the power of artificial intelligence (AI). Our mission is to lead the advancement of generative AI models designed specifically for creating innovative protein and antibody therapeutics. This allows us to tackle previously challenging molecular targets and develop effective medicines. We are also at the forefront of developing foundational models for biology and disease, facilitating improved target identification and patient stratification. Through our cutting-edge technologies, we aim to consistently discover novel therapies and enhance the success rates of drug development. Xaira has its headquarters in the vibrant San Francisco Bay Area, Seattle, and London.Position OverviewWe are on the lookout for dynamic and passionate candidates to join our innovative team as an AI Scientist! In this role, you will leverage your experience in developing and implementing advanced deep learning methodologies, showcasing a proven record of AI innovation through publications in the fields of Artificial Intelligence or Machine Learning, or through significant interdisciplinary projects. As a vital member of our core AI team, composed of exceptionally talented and creative individuals, you will spearhead exciting projects aimed at advancing state-of-the-art AI models in biology that influence drug discovery and clinical development. This role also provides the opportunity to collaborate with interdisciplinary experts in world-class biology, drug discovery, and clinical domains. Xaira values diversity and encourages candidates from all backgrounds and experiences to apply, as we believe that teams thrive when varied perspectives are included.The position is available in the following locations: San Francisco Bay Area, Seattle, and London.

Join the pioneering team at The Allen Institute as a Research Scientist focused on advancing scientific knowledge through innovative research initiatives. In this role, you will collaborate with a multidisciplinary team of scientists and utilize advanced methodologies to explore new frontiers in science.