Apply statistical analysis and machine learning techniques to uncover insights, build predictive models, and support data-driven decision-making.
Investigate data trends, patterns, and anomalies; assist in diagnosing issues and identifying opportunities through exploratory data analysis (EDA).
Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
Collaborate closely with product, engineering, and business teams to translate problems into data science solutions.
Autonomously identify business challenges that have impactful data solutions and build the right solutions to address them.
Design and execute personalization experiments (e.g., A/B tests) to test hypotheses, measure product changes, and inform business strategies.
Develop, prototype, and validate machine learning models and algorithms.
Create clear visualizations and reports to communicate technical findings and model results to stakeholders.
Follow best practices for reproducibility, model evaluation, documentation, and version control in data science workflows.
Support efforts to improve data quality, feature engineering processes, and model monitoring practices.

2+ years of experience in data science roles
Experience with web analytics tools (GA4, Amplitude, Mixpanel, etc)
Intermediate knowledge of SQL with the ability to create clean and transform datasets, ideally with DBT
Collaborative and verbose communication about why and how we approach business questions
Strong programming skills with working knowledge of machine learning packages such as sklearn, pandas, numpy, tensorflow, etc.

Remote-First Flexibility: Work from anywhere in the world and choose hours that suit you best.
Time to Recharge: Enjoy unlimited PTO, company-wide recharge days, and annual team offsites.
Everyday Perks: Weekly UberEats credits and travel discounts on Super.com help you enjoy the little things.
Family-Friendly Benefits: Generous parental leave and a flexible return-to-work plan.
Comprehensive Compensation: Competitive salary, equity options, and top-tier benefits starting on day one.
Investing in You: Access to wellness budgets, personal development funds, and team-level learning resources.

Data Scientist

Key skills