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Consumer’s data scientists use a combination of technical and business skills to help brands achieve their financial and strategic objectives. A Data Scientist learns the job while performing hands-on analytics and modeling.
Job Responsibility:
Adhere to our culture of humility, curiosity, and impact
Process data using Python, PySpark, and Databricks
Develop models and dashboards
Learn the job while performing hands-on analytics and modeling
Help business partners make more profitable decisions based on customer and prospect insights
Requirements:
0-3 years of experience in data analysis or related field
Master’s degree in a quantitative discipline or equivalent practical experience
Experience with statistical software and database languages
Nice to have:
Experience using data science to improve customer experience and business profitability
PhD in quantitative discipline
Proficiency in Python packages such as PySpark, NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
Theoretical and practical knowledge of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
Proficiency with version control
Experience with reading and writing data in the cloud
Ability to collaborate effectively with teammates across functions with strong skills in persuasive and informative speaking