Senior Data Scientist

Senior Data Scientist

Peter Millar, founded in 2001, is based in Raleigh and Durham, North Carolina. The brand has grown to include luxury performance sportswear, seasonal resort apparel, sophisticated classics, casually refined tailored clothing, and sartorial accessories.

• Technical Leadership & Execution: design, build, and deploy predictive models and machine learning solutions across use cases such as customer segmentation, demand forecasting, lifetime value, and personalization; establish and enforce best practices for code quality, version control, model documentation, and reproducibility.
• Collaborate with data engineering to architect scalable data pipelines and modeling workflows within Microsoft Fabric and Azure.
• Evaluate and introduce new tools, frameworks, and methodologies to advance applied data science capabilities.
• Data Visualization & Self‑Service Analytics: mentor junior data scientists, provide guidance on modeling approaches, code quality, and analytical rigor; translate ambiguous business problems into well‑scoped analytical projects.
• Cross‑Functional Collaboration & Communication: partner with Marketing, Merchandising, Retail, and E‑commerce to translate analysis into actionable insights; present complex findings to non‑technical audiences.
• Insight Generation & Applied Research: conduct deep‑dive analyses combining internal and external data sources; design and analyze experiments (A/B testing, multivariate testing) to measure business impact; stay current on advancements in machine learning, AI, and consumer analytics.
• AI‑Enabled Analytics & Agent Development: design and deploy AI agents and LLM‑powered tools to automate analytics workflows; build integrations using Azure services, including APIs and function apps; establish guardrails for responsible AI usage, including validation, explainability, and cost management; identify and scale high‑value AI use cases across the business.

• Desired
  
  Education and Experience:
  
  5–8+ years of experience in data science, machine learning, or advanced analytics; strong proficiency in Python and SQL with production‑level coding experience; hands‑on experience deploying models in cloud environments (Microsoft Fabric/Azure preferred); strong foundation in statistical methods including regression, classification, clustering, and time series; experience translating analytical outputs into business insights for non‑technical stakeholders; experience mentoring or leading junior team members;
  
  strong communication skills;
  Master’s degree in a quantitative field or equivalent experience.
• Technical Competencies (Preferred):
  Microsoft Fabric (notebooks, MLflow, model registry);
  One Lake (Lakehouse, Delta tables, shortcuts);
  Azure AI (Azure Machine Learning, Azure AI services);
  Microsoft Foundry (Azure AI Foundry) – experience building GenAI/agentic solutions with the model catalog, RAG, and Foundry Agent Service;
  Power BI; exposure to GenAI/NLP use cases.

If you like wild growth and working with happy, enthusiastic over‑achievers, you'll enjoy your career with us!

Peter Millar & G/FORE are equal opportunity employers. In accordance with anti‑discrimination law, it is the purpose of this policy to effectuate these principles and mandates. Both Peter Millar & G/FORE prohibit discrimination and harassment of any type and they afford equal employment opportunities to employees and applicants without regard to race, color, religion, gender, age, national origin, genetic information, marital status, disability status, protected veteran status, sexual orientation, or any other characteristic protected by law.

Both Peter Millar & G/FORE comply with applicable state, county and local laws governing non‑discrimination in employment.