Senior Data Scientist

About the role

The Senior Data Scientist will be part of a team rebuilding a platform for a company with an existing audience of 100M+ people. This role involves creating predictive models, experiments, and decision-support analytics that directly impact key business KPIs. The position requires a strong background in statistical modeling, machine learning, and experimentation, with a focus on turning data into actionable insights.

Responsibilities

• Apply advanced statistics, experimentation, and machine learning to solve complex business problems.
• Partner with product, engineering, operations, and business leaders to define and execute analytical strategies.
• Design, build, validate, and maintain statistical and machine learning models.
• Run experimentation, causal analysis, and hypothesis testing to guide real business decisions.
• Communicate complex findings through clear storytelling to both technical and non-technical audiences.
• Build scalable analytical frameworks and reusable assets, setting high standards for data quality.
• Mentor junior data scientists and analysts, and collaborate with engineering teams to productionize models.

Requirements

• AI-Native: Experience using AI in daily workflow.
• Rigorous Analyst: 6+ years of experience in data science or advanced analytics, with deep expertise in statistical modeling, experimentation, and machine learning.
• Business-Impact Driven: Influence real business decisions with data and measure success by adoption and outcomes.
• Clear Communicator: Use evidence to challenge assumptions, explain complex ideas, and maintain a high bar for rigor and reproducibility.

Qualifications

• Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics).
• Experience deploying ML models to production environments.
• Experience with cloud-based analytics and ML platforms.
• Experience mentoring data scientists or leading cross-functional initiatives.

Skills

• Advanced knowledge of statistical modeling, machine learning, and experimentation.
• Strong proficiency in Python or R.
• Experience with SQL.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a team.

Benefits

• Competitive salary.
• Hybrid work model with 2 days per week in-office (Bay Area or NYC).
• Benefits include medical, dental, vision, life insurance, HSA contributions, and a 401k plan with company matching.
• Relocation assistance where applicable, including travel and company-provided housing for the first 90 days.