Data Scientist

• Coach, mentor, and manage a world-class team of Partner Development Managers
• Own and execute a forward-thinking partner strategy focused on innovative ISVs and Data Providers
• Build deep relationships with Snowflake’s sales teams and drive joint sales initiatives
• Collaborate cross-functionally with Product, Industry GTM, Marketing, Operations, and Sales teams
• Track team performance, partner success metrics, and customer impact

Manager, Data Cloud Partners – Manufacturing

• Provides expert support to run analysis and analytical experiments using both structured and unstructured data.
• Evaluates alternate models via theoretical approaches.
• Identifies and exploits data assets, creating new patterns and business value.
• Creates analyses and models to improve customer and operational Key Process Indicators (KPIs).
• Enhances measurable value for the Agency and its customers.
• Builds predictive models and develops advanced algorithms that extract and classify information from large datasets.
• Analyzes data, develops robust statistical and predictive algorithms/models that drive product outputs.
• Identifies meaningful patterns and trends, exposing new business opportunities.
• Translates results into understandable and actionable output that answers real business questions.
• Works with modules such as Acquire to Retire (A2R), Cost Accounting (CA), User Management (UMX), Time & Labor (T&L), Procure to Pay (P2P), Order to Cash (O2C), Budget to Report (B2R), and Custom Application Development (CAD) Support Services.
• Develops data conversion templates, pre/post conversion checklist/steps, data conversion design documents, data conversion status reports, and data conversion migration plans.
• Provides expertise in COOP development and implementation, including disaster recovery planning, testing, support, recovery restoration, and system reconstitution.
• Will analyze financial and ERP data sets.
• Collaborates with hosting provider’s teams, including Systems Engineers, Network Engineers, and Continuity/Disaster Recovery Teams.
• Executes COOP exercises such as tabletop, simulation/remote recovery, and full failover exercises.
• Maintains and enhance the DAI Information System Contingency Plan (ISCP).
• Analyzes and upgrade COOP design to align with software upgrades and technical changes.
• Evaluates new technologies like Oracle Golden Gate for COOP environment re-architecture.

Financial Data Scientist

• Own assigned projects and workstreams from initiation through closeout.
• Develop and maintain project execution plans, schedules, and milestone tracking.
• Drive project progress and accountability across internal teams, vendors, consultants, and external partners.
• Coordinate project activities to ensure alignment with program objectives, timelines, and deliverables.
• Facilitate project meetings, track action items, and follow through to completion.
• Build and maintain project-level schedules aligned to the broader program master schedule.
• Monitor project dependencies and identify impacts to adjacent workstreams.
• Support integration of project schedules into the overall program plan.
• Escalate schedule risks and conflicts proactively while recommending mitigation strategies.
• Coordinate activities across engineering, design, construction, infrastructure, and operational stakeholders.
• Manage communication between project teams, vendors, consultants, and leadership.
• Ensure all parties understand scope, responsibilities, milestones, and expectations.
• Track project budgets, scope, schedules, risks, issues, and progress.
• Maintain accurate project documentation including meeting notes, decision logs, change requests, and status reports.
• Provide regular project updates and executive-ready reporting to Program Leadership.
• Identify project-level risks, constraints, and issues early.
• Drive resolution through collaboration and ownership.
• Develop mitigation plans and corrective actions when needed.
• Escalate issues appropriately while ensuring accountability remains clear.

Project Manager – Data Center Delivery

• Define and articulate the product vision, strategy, and roadmap for enterprise data platforms in alignment with business goals and technological advancements.
• Lead cross-functional teams through the entire product lifecycle, from concept to launch and beyond, for data platform solutions.
• Conduct market research, competitive analysis, and stakeholder interviews to gather insights and inform product decisions related to data management.
• Prioritize features and initiatives based on stakeholder feedback, business impact, and technical feasibility, making trade-off decisions when needed.
• Drive product development efforts, including defining requirements, managing backlog, and ensuring timely delivery of high-quality data platform releases.
• Collaborate with stakeholders across the organization to ensure alignment and drive consensus on key decisions related to data management and governance.
• Continuously monitor data platform performance, analyze metrics, and iterate on features to optimize user experience and business outcomes.
• Connect with internal customers to regularly understand their data needs and build long-lasting relationships.

Senior Product Manager – Data Products

• As a Consumer Product Data Scientist, you will be using the Databricks platform to analyze complex datasets, identify trends, uncover patterns, and provide meaningful interpretations for a highly visible online product.
• You will leverage skills in big data collection, cleaning, and exploratory analysis to discover patterns, anomalies, and relationships using statistical methods and visualization techniques.
• Requires strong experience applying statistical tests and models to validate hypotheses and identify significant trends in customer retention and churn.

Consumer Product Data Scientist

• Lead the strategy, development roadmap, and lifecycle of data products and platforms
• Define the roadmap for data solutions
• Collaborate with cross-functional teams
• Ensure data products are scalable, reliable, and user-friendly
• Monitor and improve data quality, reliability, and user adoption of data tools
• Define and track success metrics for data products

Staff Data Product Manager

• Define and drive the multi-year product vision for Data Compass Experience and AI.
• Create and maintain a roadmap aligned to Data Compass strategic priorities.
• Own the product strategy and roadmap for Compass AI.
• Lead initiatives including intent-based discovery, multi-agent experiences, chat with metrics, personalized recommendations, ambient AI experiences, and agentic workflows.
• Drive a unified Data Compass experience across catalog, quality, lineage, classification, analytics, and future platform capabilities.
• Enable associates to move seamlessly from question to discovery, trust validation, insight, and action.
• Conduct user research and customer discovery across business and technical audiences.
• Own product requirements, prioritization, roadmap planning, and release execution.

Senior Product Manager, Data Compass Experience – AI

• You'll own the research that helps define our AI Shopping roadmap
• Helping shape how we measure a brand's AI Shopping capability
• Optimizing for the best outcomes
• Designing the studies, building the models, publishing the findings
• Sitting with customers to show them what the data means for their business

Senior Data Scientist, AI Search / AEO Research

• Working closely with practice group leadership and team members in both Professional Development and Legal Talent, the Associate Development Manager is primarily responsible for supporting associate staffing, utilization, integration and development.
• Work with practice group leaders and partners in charge of staffing to manage the work allocation process for associates in the group
• Monitor workloads and professional development of associates and help allocate new matters in a manner which ensures an equitable distribution of assignments consistent with the clients’ needs and the attorneys’ individual professional development goals
• Track, aggregate and analyze associate metrics, including availability information and utilization rates.
• Partner with practice group leaders and associates to ensure that individual goals relating to productivity are achieved and practice group productivity is maintained
• Coordinate with practice group leaders and other supervising partners to identify staffing needs and hiring targets; partner with the Legal Talent team to ensure hiring efforts are supporting the goals and needs of the group
• Support the associate performance review process by working with practice group leaders and Associate Review Committee members to ensure quality reviews are delivered in a timely fashion
• Help monitor associate evaluations, prepare review delivery scripts and facilitate the delivery of formal reviews.
• Work with associates to implement feedback received, collaborating with Professional Development team members to provide coaching, where necessary
• Meet regularly with practice group leaders to identify high performing associates and associates who may be having specific challenges so that appropriate mentoring, training and other actions can be taken to address specific circumstances in a timely manner.
• Facilitate frequent feedback between partners and associates
• Partner with Legal Talent and other internal administrative departments to facilitate successful attorney on-boarding and integration, including conducting department orientation for new hires and building robust onboarding schedules.
• Help conduct exit interviews such that the firm can leverage departing associate feedback to improve the associate experience
• Collaborate with Professional Development and Legal Education team members to develop, enhance and implement legal and professional skills training programs and initiatives to support associate development
• Collaborate with the firm’s Attorney Licensing and Compliance team members to ensure associates obtain and maintain their licensure requirements and engage in continuing legal education aligned with development goals
• Collaborate with the firm's Diversity and Inclusion team to champion and implement initiatives and events.
• Promote best practices in commitment to an inclusive culture and serve as a resource for diverse attorneys
• Collaborate with HR/Wellness teams to promote the wellness of associates
• All other duties as assigned or required

Associate Development Manager – Cyber, Data, Privacy Group

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Own assigned projects and workstreams from initiation through closeout.
• Develop and maintain project execution plans, schedules, and milestone tracking.
• Drive project progress and accountability across internal teams, vendors, consultants, and external partners.
• Coordinate project activities to ensure alignment with program objectives, timelines, and deliverables.
• Facilitate project meetings, track action items, and follow through to completion.
• Build and maintain project-level schedules aligned to the broader program master schedule.
• Monitor project dependencies and identify impacts to adjacent workstreams.
• Support integration of project schedules into the overall program plan.
• Escalate schedule risks and conflicts proactively while recommending mitigation strategies.
• Coordinate activities across engineering, design, construction, infrastructure, and operational stakeholders.
• Manage communication between project teams, vendors, consultants, and leadership.
• Ensure all parties understand scope, responsibilities, milestones, and expectations.
• Support cross-functional collaboration across the QC Ecosystem and external delivery partners.
• Track project budgets, scope, schedules, risks, issues, and progress.
• Maintain accurate project documentation including meeting notes, decision logs, change requests, and status reports.
• Provide regular project updates and executive-ready reporting to Program Leadership.
• Contribute to phase-gate reviews and readiness assessments.
• Identify project-level risks, constraints, and issues early.
• Drive resolution through collaboration and ownership.

Project Manager – Data Center Program Delivery

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
• Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
• Collaborate with product managers, engineers, product marketers, and designers
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity.

Data Scientist, Level 4

• Support the successful delivery of complex, fast-paced data-center and mission-critical facility projects by providing essential project management assistance in coordination, documentation, scheduling, cost tracking, and vendor management.
• Manage and maintain complete project documentation and records.
• Track budgets, process invoices and change orders, and assist with financial forecasting and reporting.
• Support RFPs, coordinate vendors and material deliveries, and align procurement with schedules.
• Develop and update detailed project charters, logistics plans, schedules; monitor milestones, and report impacts.
• Assist with field activities, QA/QC tracking, commissioning, and contractor coordination.
• Organize meetings, prepare agendas and minutes, and ensure clear communication across teams.
• Compile and deliver closeout materials, including as-builts, O&M manuals, and warranties.
• Support client communications, prepare progress reports, and clarify project requirements.
• Uphold safety, quality, and compliance standards throughout all project phases.

Associate Project Manager – Data Centers

• Collaborate with product and/or business owners, data engineers, and platform teams to understand business needs and current capabilities, data availability, and alternative uses.
• Develop and advise on the implementation of new statistical modeling capabilities to solve technical business problems and inform the team's technical direction.
• Apply and develop advanced analytic capabilities to enhance the delivery of business applications, and support the integration of data and statistical models or algorithms.
• Apply extensive knowledge of practices in research and testing for product development, deployment, and maintenance.
• Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance for parts of products or initiatives.
• Design data visualizations, technical documentation, and non-technical presentation materials to communicate new ideas and high-impact solutions to business partners
• Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.
• Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers

Data Science Advisor

• Drive the development of innovative AI based solutions for enterprise stakeholders
• Translate business needs into AI solutions that align with strategic goals
• Design and build best-in-class AI and agent evaluation capabilities
• Deliver the analytical solution to complex business problems
• Document objectives, assumptions and processes

Senior Data Scientist – AI Services, Platforms

• Own the product vision, strategy, and roadmap for data integration, analytics, and AI capabilities supporting vendor management optimization and cost transparency.
• Drive outcome based prioritization across initiatives (e.g., cost transparency, spend visibility, performance insights, workflow automation), balancing stakeholder needs, feasibility, and measurable impact.
• Translate business and operational needs into epics, user stories, acceptance criteria, and a prioritized backlog, partnering with delivery teams through refinement and release planning.
• Define and deliver product capabilities that enable vendor performance visibility, portfolio insights, and spend transparency, including clear success criteria and user outcomes.
• Define data requirements and integration needs, enabling reliable, analytics ready views across systems to support planning, forecasting, and performance tracking.
• Support delivery of AI ‑ assisted capabilities (e.g., forecasting, anomaly detection, insight summarization) within established platforms, standards, and guardrails.
• Lead ongoing backlog management, UAT, and release readiness, accountable for adoption and delivery of measurable business outcomes.
• Communicate product plans, trade-offs, risks, and insights clearly to business and technical stakeholders.
• Facilitate alignment across cross-functional partners with differing priorities through structured discussions and clear decision framing.
• Support governance, controls, and compliance requirements related to data, financial transparency, and operational processes.
• Help drive adoption of new product capabilities and workflows through clear documentation, enablement, and change support.
• Contribute to risk mitigation and continuous improvement through standards, transparency, KPI tracking, and post-implementation review.

Lead Product Manager, Data & AI Integration

• Own the end-to-end program management of strategic initiatives for LiveRamp’s Data Marketplace, from initial scoping and requirements through launch and post-launch optimization, ensuring clear accountability, timelines, and success criteria.
• Coordinate and communicate product and engineering work across multiple teams and stakeholders (Product, Engineering, Sales, Partnerships, Operations, and Support) so everyone is aligned on priorities, milestones, and risks.
• Drive the software development lifecycle for marketplace programs, including ideation, specification, prioritization, design, implementation, testing, launch, and iteration, using data to guide tradeoffs and decisions.
• Partner with Product Management to translate customer, partner, and internal stakeholder needs into actionable roadmaps, well-defined program plans, and clearly documented requirements.
• Build and maintain program plans, dependency maps, and risk registers for complex, cross-functional efforts (such as new marketplace capabilities, large partner integrations, and platform migrations), and keep them current and visible.
• Define, implement, and monitor program health metrics (for example, delivery predictability, cycle time, defect rates, adoption/usage, and operational SLAs) and use these to drive continuous improvement.
• Facilitate effective Agile ceremonies and cross-team rituals (planning, backlog refinement, standups, demos, and retrospectives) to support predictable delivery and high team engagement.
• Run cross-functional incident and issue response for marketplace-impacting problems: organize triage, coordinate short-term mitigation, and ensure follow-up actions and root-cause analysis are completed.
• Identify process gaps and friction points in how marketplace work gets delivered (e.g., handoffs between teams, release processes, partner onboarding workflows) and lead structured efforts to improve or redesign them.
• Create and maintain concise, executive-ready status reporting for your programs, highlighting progress, risks, decisions needed, and impact against goals.
• Champion best practices in program and project management across the Data Marketplace and adjacent teams, helping to standardize tools, templates, and ways of working where it adds value.
• Contribute to a culture of ownership, collaboration, and inclusion by modeling our values and supporting teams through ambiguity, changing priorities, and challenging timelines.

Staff Technical Program Manager, Data Marketplace

• Architect and deliver enterprise AI/ML solutions
• Lead strategic initiatives and mentorship
• Collaborate with product and engineering teams

Senior Data Scientist

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
• Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted
• Collaborate with product managers, engineers, product marketers, and designers
• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions
• Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically rigorous solutions to deliver actionable insights, accurate predictions, and effective optimizations
• Communicate best practices in quantitative analysis and develop cross-functional partnerships
• Utilize AI tools to more efficiently develop scalable data solutions, while maintaining rigorous standards for accuracy and statistical integrity

Data Scientist jobs in Washington

See all jobs on JobTailor

Manager, Data Cloud Partners – Manufacturing

Financial Data Scientist

Project Manager – Data Center Delivery

Senior Product Manager – Data Products

Consumer Product Data Scientist

Staff Data Product Manager

Senior Product Manager, Data Compass Experience – AI

Senior Data Scientist, AI Search / AEO Research

Associate Development Manager – Cyber, Data, Privacy Group

Data Scientist

Project Manager – Data Center Program Delivery

Data Scientist, Level 4

Data Scientist, Level 4

Associate Project Manager – Data Centers

Data Science Advisor

Senior Data Scientist – AI Services, Platforms

Lead Product Manager, Data & AI Integration

Staff Technical Program Manager, Data Marketplace

Senior Data Scientist

Senior Data Scientist, Core