Lead Data Scientist (Product & Experimentation)

We are looking for a Lead Data Scientist (Product & Experimentation) to join our team and help elevate our product analytics and experimentation practice. This role will provide senior leadership in building a world-class experimentation platform, establishing methodological rigor for product analytics, and mentoring our data science team to deliver high-impact analytical solutions that improve the user experience. You have strong opinions about what high-quality experimentation and causal inference look like and are passionate about building products that delight users.

You can work across multiple product teams and have a keen sense of how to connect experimentation outcomes to product strategy and user engagement metrics.

Responsibilities:

Set the roadmap and model best practices for product experimentation and A/B testing

Lead the evolution of our experimentation platform (GrowthBook) and establish gold-standard practices for experiment design, analysis, and interpretation

Partner with product leadership to identify and prioritize high-impact experimentation opportunities across the user journey

Establish and evangelize methodological standards for causal inference and statistical testing

Build frameworks for measuring product feature impact and user engagement metrics

Coach and mentor data scientists on advanced experimentation techniques and product analytics

Collaborate with engineering teams to ensure robust data instrumentation and tracking

Lead complex analytical projects focused on user behavior, content discovery, and platform engagement

Develop self-service experimentation tools and dashboards for product teams





Champion a culture of data-driven product development and continuous testing

Represent the data science team in product strategy and roadmap discussions.

Key Qualifications:

10+ years of qualified experience in data science/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, and causal inference methods

Strong experience with sequential testing, power analysis, and sample size calculations

Proven track record of building and scaling experimentation platforms

Experience with user behavior modeling, funnel analysis, and cohort analytics

Excitement to leverage the latest LLM tools to improve workflows and efficiency.

Experience in building robust data models for product analytics

Experience mentoring data scientists on experimentation best practices

Excellent communication skills with ability to translate statistical concepts to product teams

Strong product sense and ability to connect analytics to user experience outcomes

Experience with modern experimentation platforms and BI dashboarding tools

Expertise in handling common experimentation challenges (network effects, spillover, novelty effects, SMRs)

Nice-to-have:

Experience in media/streaming industry with understanding of viewer engagement metrics and content performance analysis

Experience with multi-armed bandits, contextual bandits, or reinforcement learning approaches

Familiarity with Bayesian methods for experimentation and decision-making

Experience building data products for self-service analytics

Experience with experimentation and feature flagging systems

📌 Lead Data Scientist (Product & Experimentation) (Lucknow)
🏢 Sdlc Technologies
📍 Lucknow