Senior Data Scientist
Core
Senior Data Scientist leading end-to-end development of advanced analytics, ML, and AI solutions to deliver measurable business value for Campbell's CPG portfolio.
Role type
Senior hands-on IC data scientist with technical leadership
Builds
Production-ready analytics products, ML models, and data-driven decision support systems
Domain
Consumer Packaged Goods (CPG), Retail, Supply Chain, Marketing
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced statistics, machine learning, deep learning, optimization, causal inference, experimentation design, Python, R, SQL, MLOps, model governance, technical leadership, mentoring
Preferred skills
PhD in quantitative field, optimization modeling (Gurobi/PuLP), Microsoft Azure/Databricks, Power BI/Tableau, feature stores, CPG domain expertise, demand forecasting, pricing/promotions analytics
Technologies
Python, R, SQL, Snowflake, Databricks, Spark, TensorFlow, PyTorch, XGBoost, LightGBM, statsmodels, Git, Docker, MLflow, CI/CD, Gurobi, PuLP, Azure, Synapse, AKS, Power BI, Tableau, Plotly Dash
Responsibilities
Lead end-to-end development of advanced analytics solutions including ML, Deep Learning, and Optimization; Translate complex data into actionable insights through sourcing, cleansing, and engineering; Own deployment, monitoring, and lifecycle management of production models; Partner with stakeholders across Supply Chain, Finance, Marketing, Sales, and R&D; Design and lead experimentation strategies including A/B testing; Develop visualizations and business narratives for senior leadership; Mentor and coach junior data scientists; Contribute to analytics standards and technical documentation
Seniority
Senior, hands-on IC with mentorship responsibilities