Train machine learning models for user workouts and business forecasting
Design and analyze A/B tests, extracting causal insights from fitness data
Collaborate with various teams to improve products and understand user behavior
Required Qualifications
Master's degree in Statistics, Data Science, or a related field
Experience with Python and statistical packages like pandas, NumPy, and scikit-learn
Proficiency in SQL for data extraction, transformation, and loading (ETL)
Familiarity with data visualization tools such as Matplotlib, Seaborn, and Plotly
Knowledge of A/B testing, econometrics, and distributed computing frameworks like Hadoop or Spark
Average salary estimate
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