As a Senior Data Scientist, you will drive product analytics and experimentation, develop metrics, and collaborate with cross-functional teams to inform strategic decisions.
As a Data Scientist on the Core Engagement team, you will collaborate with our cross-functional teams to develop and execute product roadmaps, and define/own the ways we measure success and elevate the experimentation capabilities of the team.
We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person should be able to articulate best practices, develop new analytical frameworks that can tie user actions with output metrics and strike the right balance between analytical rigor and pragmatic business action.
This person will work closely with various cross-functional teams, such as product, engineering, and design, to develop and deliver metrics, analyses, solutions, and insights.
Successful candidates will demonstrate technical skills, product expertise, business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.
Your Responsibilities Will Include
- Design, evaluate, and interpret experiments in the presence of network effects, delayed outcomes, and imperfect randomization—balancing speed with statistical rigor.
- Influence product direction by translating insights into clear recommendations that shape roadmap prioritization.
- Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy
- Build scalable metrics and dashboards to empower efficient decision-making
- Own the definition and evolution of success metrics for core engagement surfaces, including tradeoffs between short-term and long-term member value.
Qualifications
- 5+ years of data science and product analytics experience
- BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
- Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
- Expert in SQL, including complex joins, window functions, and performance-aware querying on large datasets
- Expert in Python or R programming, including common scientific computing packages and data science tools such as NumPy, Pandas, and Scikit-learn
- Strong applied statistics background, including hypothesis testing, confidence intervals, power analysis, and causal inference techniques
- Familiarity with modern analytics and BI tools like Looker, Tableau, Omni, Hex, Sigma, Eppo, StatSig, etc is a plus
- A strong understanding of two-sided marketplace dynamics
- Experience in navigating eco-system effects is a plus
- Strong in proactive verbal and written communication and presentation skills, ability to convey rigorous statistical concepts to non-experts
- Strong strategic thinking to navigate a complex business problem, going beyond short-term optimization. You excel at understanding the deeper “why” behind data insights
- Eagerness to explore and apply AI and emerging technologies (e.g., LLMs, automation, intelligent tooling) to accelerate analysis, experimentation, and decision-making
Top Skills
Eppo
Hex
Looker
Numpy
Omni
Pandas
Python
R
Scikit-Learn
Sigma
SQL
Statsig
Tableau
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Conduct analysis, guide data metrics, oversee ETL jobs, and ensure statistical rigor. Collaborate with teams to drive impactful data science projects.
Top Skills:
PythonSQL
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The role involves collaborating on product and business problems, applying technical expertise in data analysis, and influencing strategy decisions through data insights.
Top Skills:
LookerMicrostrategyPythonRR-ShinySap Business ObjectsSQLTableau
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Staff Data Scientist will enhance Bitcoin adoption through data analysis, collaboration with teams, and building data foundations for product growth.
Top Skills:
Ai ToolsAirflowAmplitudeLlmsLookerModePrefectSnowflakeSQLTableau
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
