Data Scientist
Core
Build and deploy Generative AI and Machine Learning models to solve enterprise challenges in commercial, supply chain, and customer experience functions.
Role type
Mid-Career Data Scientist (Generative AI & ML)
Builds
Predictive models, intelligent agents, and document intelligence solutions for internal enterprise use.
Domain
Chemical/Manufacturing industry, Enterprise AI, Generative AI
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Generative AI, LLM deployment, Statistical analysis, Data cleaning, Feature engineering, Hyperparameter tuning, A/B testing
Preferred skills
Chemical/Manufacturing domain knowledge, SAP-Salesforce integration, AI governance, MLOps
Technologies
Snowflake, Databricks, LangChain, HuggingFace, OpenAI APIs, Salesforce AgentForce, Google AgentSpace, Snowflake Cortex AI, MLflow, dbt, Git, SAP
Responsibilities
Analyze large datasets for insights, build/train/validate predictive models, collaborate on data pipelines, create dashboards, design A/B tests, ensure data governance compliance
Seniority
Mid-Career, hands-on IC
