Data Scientist, Data Insights

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 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 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 objectives.

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.

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 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.

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.

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.

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.

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.

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 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.

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.

Partner Data AnalystAt Truveta, we are pioneering the world's first health provider-led data platform with an overarching goal of Saving Lives with Data. Our mission is to empower researchers to discover cures more rapidly, equip every clinician with expert knowledge, and assist families in making the most informed healthcare decisions. This ambitious vision necessitates a team of exceptionally skilled individuals who possess a unique blend of healthcare, software, and big data expertise, and who resonate with our core values.Although Truveta originated in the Pacific Northwest, our workforce is distributed across the country. We embrace a hybrid work model, allowing flexibility to work from anywhere, with in-person attendance required only once a year for an onsite meeting.To foster overall team productivity, we optimize our meeting hours around the Pacific Time Zone. We generally refrain from scheduling recurring meetings that commence after 3 PM PT, while ad hoc meetings can occur between 8 AM and 6 PM PT. #LI-remoteWho We Are Looking ForTruveta is rapidly expanding its talented and diverse team to confront intricate health and technical challenges. We are not just looking for skilled professionals; we seek problem solvers who are passionate, collaborative, and ready to roll up their sleeves to make a significant impact. If you are excited about pursuing meaningful work, joining a mission-driven team, and building a fulfilling career while enjoying the journey, Truveta could be the ideal place for you.

Join our dynamic team as a Retail Data Collector! In this engaging role, you will be responsible for gathering and analyzing retail data to help drive business strategies. Your keen attention to detail and analytical skills will play a crucial role in ensuring our clients receive accurate and timely insights into market trends.

Join our innovative team as a Data Architect where you will play a crucial role in our Workday project, focusing on developing simple and maintainable integrations. You will also contribute to enhancing our data platform for a larger data warehouse initiative. This is a fantastic opportunity for professionals looking to make a significant impact in a dynamic environment.

Join Aircall's innovative team as a Data Engineer in our Seattle office, where you will play a critical role in shaping our data architecture and analytics capabilities. You will be responsible for designing and implementing robust data pipelines, ensuring data integrity, and providing insights that drive business decisions. If you are passionate about data and eager to contribute to a dynamic team, we invite you to apply!

At PitchBook, a subsidiary of Morningstar, we are committed to looking ahead. We continually innovate, evolve, and invest in our team to unlock the potential in everyone. Our collaborative spirit and vibrant culture make our workplace both energetic and enjoyable.Our comprehensive learning programs and mentorship initiatives foster a culture of curiosity, encouraging us to seek new solutions and improved methods. In a fast-paced industry with high aspirations, we embrace challenges and ambiguity, thriving when we push our limits. We are open to taking risks, learning quickly from our failures, and striving for excellence.If you bring a positive attitude and a willingness to roll up your sleeves to get things done, PitchBook is the perfect place for you.About the Role:As a pivotal member of our Product and Engineering team, you will collaborate with a group of innovative thinkers and problem solvers who are dedicated to enhancing the positive impact we have on our customers and our organization daily. We prioritize curiosity and the pursuit of better practices, with a strong emphasis on customer empathy in our product innovations.We believe that greatness comes from collaboration and diverse perspectives; hence, we work closely with partners globally. As a team, we assume positive intent, value constructive dialogue, and cultivate a respectful workplace grounded in integrity and growth. We invest significantly in our employees who are eager to learn and evolve. Join us and grow with PitchBook!

Join Metropolis as a Senior Data Engineer, where you will play a critical role in shaping our data infrastructure and analytics capabilities. You will collaborate with cross-functional teams to design, develop, and optimize robust data pipelines and architecture, ensuring data availability and accessibility for business intelligence and analytics initiatives. This is an exciting opportunity to leverage your expertise in data engineering to drive impactful data solutions.