Description

You will design statistical models, deploy ML algorithms, and build forecasting systems to drive business insights.

This role is hybrid.

Responsibilities

• Design and deploy statistical models and ML algorithms for business insights.
• Perform exploratory data analysis on sales, inventory, and operations.
• Own data governance, including definitions, lineage, quality standards, and dictionaries.
• Design and deploy AI agents and LLM-powered workflows for automation.
• Translate complex analytics into actionable business recommendations.

Required Skills

• 5+ years of experience in Data Science, Data Engineering, or Analytics.
• Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels).
• Hands-on experience with GenAI, LLMs, and AI agents.
• Experience with data pipelines (Airflow, dbt, Spark).
• Familiarity with data governance tools and metadata management.
• Knowledge of knowledge graph technologies (RDF, Neo4j).

Preferred Skills

• Experience with multi-agent frameworks (LangGraph, CrewAI, Claude SDK).
• Knowledge of ontology design and entity resolution.
• Familiarity with graph query languages (Cypher, SPARQL).

Key Skills

Education

Bachelor's degree