Senior Data Scientist
Core
Develop predictive and prescriptive models using statistical modeling and machine learning to solve complex business problems and drive operational efficiencies for product squads.
Role type
Senior Applied Data Scientist
Builds
Scalable analytics products and robust analytical models
Domain
Consumer Packaged Goods (CPG) / Retail / Statistical Modeling / Machine Learning
Deliverable
production ML models
Required skills
Regression/GLM, Random Forest, Boosting, Deep Learning, text mining, social network analysis, Python (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch), (Py)Spark, SQL/Hive, Hadoop ecosystem, Apache Spark, data visualization (matplotlib, Power BI, React, Dash)
Preferred skills
Optimization techniques, professional accreditation in Data Science (e.g., Azure Data Scientist Associate, CAP, DASCA SDS)
Technologies
TensorFlow, PyTorch, (Py)Spark, Hadoop, Apache Spark, Power BI, React, Dash, matplotlib
Responsibilities
Apply statistical modeling and machine learning techniques to develop predictive and prescriptive models; conduct exploratory data analysis to identify trends and actionable insights; partner with Product Managers and Data Engineers to ensure value-driving and technically feasible EDA work; use data visualizations to present complex technical concepts to technical and non-technical audiences; conduct rigorous testing and validation of models; review and debug efforts of other Data Scientists
Seniority
Senior, hands-on IC