Motion Recruitment-posted about 1 year ago
Full-time • Senior
Palo Alto, CA
Administrative and Support Services

We are seeking a Senior Data Scientist focused on user retention and product engagement. This role involves leveraging advanced data insights, A/B testing, and predictive analytics to drive growth in a fast-paced, product-focused organization. The ideal candidate will have a strong background in user behavior analysis and experience in high-growth environments, aiming to enhance product experiences and optimize key performance metrics.

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