Data Scientist / Product Focused / User Retention

We are seeking a Senior Data Scientist with a deep understanding of user behavior, retention strategies, and acquisition modeling to join a fast-paced, product-focused organization. This role is at the forefront of driving growth and engagement through advanced data insights, A/B testing, and predictive analytics. The ideal candidate has experience working in a high-growth, user-centric environment and is passionate about leveraging data to improve product experiences and optimize key performance metrics.

Required Skills & Experience:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• 7+ years of experience in data science, preferably in a product-focused company with a heavy emphasis on daily active users.
• Proven expertise in A/B testing, experimental design, and measuring the impact of product changes on user behavior.
• Strong proficiency in statistical modeling, machine learning, and predictive analytics.
• Experience with user acquisition, retention, and churn prediction models.
• Advanced skills in SQL and Python (or R) for data manipulation, analysis, and visualization.
• Familiarity with attribution modeling and customer journey analysis.
• Experience working with large-scale datasets and cloud-based data platforms such as Snowflake, BigQuery, or Redshift.
• Strong communication skills, with the ability to translate complex analyses into actionable insights for stakeholders.

Desired Skills & Experience:

• Experience with data visualization tools such as Tableau, Looker, or Power BI.
• Knowledge of product metrics, including DAU/MAU ratios, LTV, and cohort analysis.
• Familiarity with customer segmentation techniques and personalization strategies.
• Exposure to data-driven product development in the e-commerce, media, or social networking space.
• Ability to collaborate with product managers, engineers, and marketing teams to define and measure success metrics.

What You Will Be Doing:

Tech Breakdown:

• 50% Data Analysis and Modeling
• 30% Experimentation and A/B Testing
• 20% Collaboration with Product and Growth Teams

Daily Responsibilities:

• 60% Designing and executing experiments to measure user behavior and retention strategies.
• 30% Developing models to predict and optimize user acquisition, retention, and engagement.
• 10% Reporting and communicating actionable insights to cross-functional stakeholders.