Senior Data Scientist Growth

New

Skills

A/B Testing AWS Causal Inference Machine Learning Pandas Predictive Modeling Python PyTorch Scikit-learn SQL

As a Senior Data Scientist focused on growth, you will play a critical role in scaling user growth and retention through machine learning, experiments, and causal inference. You will collaborate with lifecycle marketing, growth, and product teams to optimize the user funnel and enhance overall customer experience.

Key Responsibilities
  • Design and run scalable A/B tests and causal inference studies.
  • Build automation and personalization tools for experimentation and segmentation.
  • Develop predictive models to boost trial-to-subscription conversions and reduce churn rates.
  • Leverage geospatial and behavioral data to identify key user segments.
  • Collaborate cross-functionally to drive data-driven decision-making.
Required Skills & Qualifications
  • 4+ years of experience in data science with a focus on growth, experiments, and retention.
  • Strong skills in causal inference, A/B testing, and statistical modeling.
  • Proficiency in machine learning for segmentation, personalization, and predictive analytics.
  • Experience with Python (Pandas, Scikit-learn, PyTorch or TensorFlow) and SQL.
  • Familiarity with Spark, AWS, and Databricks.
  • Strong business acumen and ability to collaborate across teams.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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