Data Scientist

Job Summary

Experienced Analytics Data Science professional (5+ years) with strong SQL and Python expertise, driving product decisions through experimentation, causal inference, and advanced analytical modeling while leading teams and influencing stakeholders.

Responsibilities

• Work on product analytics and data science initiatives with a strong focus on experimentation, including A/B testing, causal inference, and synthetic control methods to drive data-informed product decisions.
• Utilize advanced SQL and Python (must-have) to analyze large datasets, build analytical frameworks, and deliver actionable insights for product and business stakeholders.
• Apply supervised and unsupervised learning techniques (e.g., linear/logistic regression, clustering) to solve complex product and growth problems.
• Manage and mentor analytics/DS team members, collaborate effectively with cross-functional stakeholders, and demonstrate thought leadership in product analytics strategy.
• Exhibit strong proactiveness, enthusiasm, and the ability to quickly learn and implement new methodologies in a fast-paced environment.

Requirements

• Tech Skills: SQL, Python (must have)
• Primary skills: product analytics focused A/B testing, causal inference, synthetic control etc.
• Secondary skills: supervised and unsupervised learning (regression, logistic regression, clustering etc.)
• Experience level: 5+ years, led teams, managing stakeholders well, good thought leadership on product analytics.

Job Type

• Full time

Location

Bangalore, Karnataka, India

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