Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.
150k – 190k/yr
Hybrid3+ YOEData Science
About the role
What you'll do
Make key data decisions across the company
Analyze large and complex datasets to derive actionable insights
Monitor performance trends and conduct diagnostic analyses
Collaborate closely with the product team to identify key benchmarks for new features, and analyze the performance of all aspects of the product
Provide data-driven recommendations and run experiments to support product development, user engagement strategies, and business growth
Own the data dictionary and support a culture of data literacy across teams
Build, improve and maintain data pipelines & the overall data foundation
Maintain the Amplitude taxonomy and ensure it's reliable, documented, and intuitive
Identify and execute on opportunities to improve our data infrastructure, processes, and tooling
Provide regular updates and insights to help the company stay informed on progress towards our goals
What you'll bring
A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
3-5 years of experience in data science or a related role
2 years of experience in a high growth startup; experience in consumer is preferred but not required
Fluency in SQL and Python (Javascript a plus)
Familiarity with data tools such as Amplitude, DBT and Hex
Experience designing and analyzing A/B tests, with a solid understanding of statistical methods
High aptitude for using data to drive business decisions
Excellent communication skills, and ability to convey complex data findings in a clear and concise manner to non-technical stakeholders
Extreme comfort with ambiguity, and a pattern of taking initiative, working independently, and thriving in fast-moving environments
Compensation range: $150,000-$190,000 depending on years of experience.
Data Scientist designing and analyzing A/B tests, causal inference experiments, and retention frameworks (cohorts, churn, DAU/WAU/MAU) to drive product growth and user engagement at Arena Intelligence. Requires 3+ years in experimentation, strong stats background, SQL/Python/PySpark skills.
150k – 350k/yr
Hybrid3+ YOEData Science
Business Intelligence Data Scientist
Bluesky SocialUnited States
Develops and maintains business intelligence dashboards and statistical models to analyze user behavior and support product decisions. Requires 5+ years in data science, strong SQL/Python skills, and experience with large-scale data.
150k – 175k/yr
Remote5+ YOEData Science
AI Applied Scientist
FigmaSan Francisco, CA +1
Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.
149k – 350k/yr
Remote4+ YOEData Science
Data Scientist, Product
HarveySan Francisco, CA
Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.
155k – 240k/yr
Hybrid5+ YOEData Science
Data Science Manager - Market Origination
PrizePicksAtlanta, GA
Lead a team of data scientists and analysts to own line setting strategy, projection models, and market origination for fantasy sports and esports props. Requires 5+ years in sports betting/fantasy, management experience, and strong technical skills in SQL/Python/R.