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, valuable thought leadership on product
analytics.)

Benefits
Perks and benefits:
Competitive salary and performance-based bonuses.
Comprehensive insurance plans.
Cooperative and supportive work environment
Chance to learn and grow with a talented team.
A positive and fun work workplace.

📌 Data Scientist Bengaluru (India)
🏢 Prescience Decision Solutions
📍 India