Lead Data Scientist (Product & Experimentation)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Data Scientist (Product & Experimentation) in California (USA).

We are seeking a Lead Data Scientist to elevate product analytics and experimentation capabilities in a fast-paced, user-focused environment. In this role, you will lead the development of a world-class experimentation platform, define best practices for A/B testing and causal inference, and mentor a team of data scientists to deliver high-impact insights. You will collaborate across multiple product teams to connect experimentation outcomes with strategic product decisions and user engagement metrics. The ideal candidate combines deep technical expertise, strong analytical thinking, and a passion for improving user experiences through data-driven experimentation. This position offers the opportunity to influence product strategy, champion rigorous testing methodologies, and contribute to a collaborative, high-growth culture.

Accountabilities

• Lead the evolution of experimentation platforms and establish gold-standard practices for experiment design, analysis, and interpretation.
• Partner with product leadership to identify, prioritize, and execute high-impact experimentation opportunities across the user journey.
• Build frameworks for measuring product feature impact, user engagement, and behavior analytics.
• Coach and mentor data scientists on advanced experimentation techniques, product analytics, and statistical rigor.
• Collaborate with engineering teams to ensure robust data instrumentation, tracking, and self-service analytics tools.
• Lead complex analytical projects focused on content discovery, platform engagement, and optimization of user experiences.
• Represent the data science team in product strategy, roadmap planning, and cross-functional decision-making.

Requirements

• 10+ years of professional experience in data science or analytics with demonstrated proficiency in Python, SQL, and statistical modeling.
• 3+ years of experience leading experimentation programs or product analytics teams.
• Deep expertise in experimental design, A/B testing, sequential testing, power analysis, and causal inference.
• Proven track record of building and scaling experimentation platforms and frameworks.
• Experience in user behavior modeling, funnel analysis, cohort analysis, and product engagement metrics.
• Strong communication skills with the ability to translate complex statistical insights for product teams and executives.
• Experience mentoring data scientists and establishing methodological standards.
• Nice-to-have: experience in media/streaming, multi-armed bandits, Bayesian methods for experimentation, self-service analytics platforms, or feature flagging systems.

Benefits

• Annual salary: $172,000–$237,000 depending on experience and location.
• Company stock options and equity participation.
• Full health, dental, and vision coverage for employees and their families.
• 401(k) plan with employer contributions.
• Flexible working hours and fully remote options within the U.S.
• Up to 20 weeks of fully paid parental leave.
• Unlimited paid time off for vacation and sick leave, plus $2,000 annual vacation bonus.
• $5,250 annual professional development and educational assistance.
• $1,250 annual home office + TV stipend during first year ($250 annually thereafter).
• Commuter benefits and optional in-office work bonus.
• Free Gympass subscription and dog-friendly offices.
• Additional wellness and culture perks.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!