Lead Data Scientist

We are looking for a highly capable and forward-thinking Data Scientist to support our Merchandising Analytics team in advancing our data science capabilities. This role is ideal for professionals with strong statistical modeling expertise, hands-on experience with predictive and prescriptive analytics, and a passion for emerging AI technologies, including Large Language Models (LLMs). You will also play a key role in mentoring and upskilling our internal team.

Key Responsibilities

• Design and implement advanced statistical models including regression, clustering, classification, and time-series forecasting to solve complex business problems.
• Develop prescriptive analytics solutions to recommend optimal actions based on predictive insights.
• Collaborate with business stakeholders to translate analytical findings into actionable strategies.
• Work with large-scale datasets using SQL, Python, R, and big data tools (e.g., Hive, PySpark).
• Build and maintain dashboards and visualizations using BI tools like Tableau or Domo.
• Apply and experiment with LLMs (e.g., GPT, Claude, open-source models) to enhance analytics workflows, automate insights, and support natural language querying.
• Mentor and guide full-time analysts and data scientists on statistical techniques, modeling best practices, and AI / LLM integration.
• Stay current with industry trends in data science, machine learning, and AI, and bring innovative ideas to the team.

Required Qualifications

Preferred Qualifications