The Senior Data Scientist will analyze the impact of models on user outcomes, design measurement frameworks, and collaborate with ML Engineers and Analysts to improve product experiences.
We’re looking for a Senior Data Scientist to deepen our understanding of how models and product experiences impact user outcomes. You’ll work closely with Data Science, Machine Learning Engineering, and Analytics teammates on the recommendations and search systems that power personalized experiences.
We prioritize learning and teamwork and love giving people the opportunity to champion big challenges and grow into better versions of themselves. A great candidate is excited to grow our use of machine learning, AI, and other sophisticated algorithms to build a better user experience. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions.
We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and we pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity.
In this role, you will:
- Run causal and impact analysis for experiments and product changes, helping the team understand not just what happened, but why
- Design and maintain measurement frameworks for key systems like recommendations, ranking, and personalization
- Partner with ML Engineers to evaluate model performance and offline metrics, and to develop scalable evaluation pipelines
- Work closely with Analytics to ensure high-quality experimentation and metric consistency, supporting clear, reliable insights for product and model improvements
- Dig into user behavior and engagement patterns to generate insights and hypotheses that shape product direction
- Contribute to analytical data workflows – for example, defining custom metrics or refining evaluation tables to improve reproducibility and self-serve capability
- Communicate clearly and proactively with product and engineering partners, bringing clarity to complex systems and metric
Qualifications
- 4–7 years of experience in data science, analytics, or a related quantitative field (product or ML-facing experience preferred)
- Strong SQL and Python skills, with experience in pandas, NumPy, and data visualization libraries
- Deep understanding of causal inference and experimentation, including methods such as CUPED, diff-in-diff, matching, or propensity-based estimators
- Experience designing and interpreting A/B tests and translating results into product recommendations
- Experience with model tuning and evaluation as well as common ML libraries (e.g. scikit-learn, XGBoost)
- Proficiency with modern data tooling, such as dbt and Snowflake/Databricks for transformation and modeling; Mixpanel or Segment for product instrumentation; and Looker, Omni, or Tableau for visualization
- Familiarity with off-policy evaluation and counterfactual analysis methods (e.g., inverse propensity scoring, doubly robust estimation) used to evaluate recommender or personalization models offline.
- Strong communication and storytelling skills, with the ability to align stakeholders on insights and measurement strategy
- Comfortable working cross-functionally with ML Engineering, Analytics, Product, and Infrastructure teams
Top Skills
Data Visualization Libraries
Databricks
Dbt
Looker
Mixpanel
Numpy
Omni
Pandas
Python
Scikit-Learn
Segment
Snowflake
SQL
Tableau
Xgboost
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.
Top Skills:
AWSAzureGCPPythonRSnowflakeSQLTableau
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.
Top Skills:
PythonRSQLTableau
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Data Scientist at Coinbase will analyze ambiguous problems, own core metrics, and drive data science projects, impacting business decisions.
Top Skills:
PythonSQL
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
