Data Scientist at Stripe | Seattle

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.

Stripe is seeking a Data Analyst to focus on Payments Performance in Seattle. This position centers on analyzing payment data and producing reports that highlight trends and opportunities for improvement. The work supports ongoing efforts to optimize Stripe’s payment processes. What you will do Analyze large sets of payment data to identify patterns and areas for improvement Create clear, actionable reports for stakeholders Collaborate with teams across the company to develop strategies that enhance payment systems Support initiatives aimed at improving overall payment performance Collaboration This role works closely with cross-functional partners, sharing insights and helping shape data-driven decisions that affect Stripe’s payment systems.

Stripe is seeking an Analytics Engineer in Seattle, WA to help guide data-informed decisions across the company’s financial technology products. This position centers on using analytical skills to support business strategy and product development. Role overview This role focuses on analyzing data to uncover insights that influence how Stripe builds and improves its products. The work directly supports teams in making choices that drive growth and efficiency. What you will do Work with data to identify trends and opportunities for product and business improvement Collaborate with teams to translate analysis into actionable recommendations Requirements Strong analytical skills and experience working with data Ability to communicate findings clearly to technical and non-technical stakeholders

Join our dynamic team at Stripe as an Engineering Manager supporting our Connect product. In this role, you will lead a talented group of engineers, driving innovation and ensuring the successful delivery of projects that enhance our payment processing capabilities. You will collaborate closely with product managers and stakeholders to align engineering practices with business goals, fostering a culture of continuous improvement and technical excellence.

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 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.

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.

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.

Join our dynamic team at Stripe as a Software Engineer focused on Product Security Data Platforms. In this role, you will be responsible for developing and maintaining cutting-edge security solutions that protect our products and services. You will collaborate with cross-functional teams to identify vulnerabilities, implement security best practices, and ensure compliance with industry standards.

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.

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 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 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.

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.

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.

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.

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.