Data Scientist

JOB SUMMARY

This position develops and applies advanced analytics, machine learning, and AI to support structured pricing products, forecasting, and valuation. The role builds and maintains models, data assets, and AI‑enabled tools that deliver timely, accurate insights and automation to improve decision‑making and elevate workforce capability. The position is accountable for improving model performance, governance, explainability, and scalability across markets, and partners across the enterprise to deploy reliable analytical and AI solutions.

Summary:

Serves as South Star’s senior technical authority for Data, Analytics and AI strategy, setting standards and priorities to ensure secure, scalable, and production‑ready solutions.

• Accountable for domain AI outcomes and risk posture, including final technical approval for production readiness
• Prioritize AI use cases based on business value, feasibility, and risk.
• Define and enforce South Star standards for model development, validation, monitoring, documentation, and responsible AI use, aligned with enterprise frameworks.
• Establish reusable AI/ML frameworks, templates, and best practices to accelerate delivery across teams.
• Lead cross‑functional delivery of production AI solutions (automation, forecasting, decision support, AI assistants).
• Drive workforce enablement (training, playbooks, coaching) to elevate AI adoption and productivity.
• Provide technical direction across multiple teams and functions, leading through influence rather than formal authority.
• Mentor junior staff on modeling practices and documentation; conduct technical reviews and guide complex problem‑solving.
• Stay current on GenAI, NLP, and advanced ML trends and assess their applicability to South Star’s business.

Summary:

Leads advanced analytics and AI initiatives end‑to‑end, establishing standards and ensuring scalable, governed delivery.

• Lead end‑to‑end delivery of advanced analytics and AI solutions (design, build, deploy and monitor).
• Define modeling standards, validation approaches, and monitoring thresholds; ensure explainability and audit readiness.
• Drive adoption by integrating models and AI tools into business workflows and decision processes.
• Partner with leadership to prioritize use cases, manage trade‑offs, and quantify business impact.
• Continuously improve data quality and governance practices to support scalable AI across markets.

Summary:

Independently designs and delivers advanced analytics and machine learning solutions and reusable pipelines for business use cases.

• Design and develop statistical and ML models for business problems (forecasting, valuation, segmentation, anomaly detection).
• Build scalable analytical pipelines and reusable datasets/features; implement validation checks.
• Create AI‑enabled analytical tools (e.g., guided Q&A over curated data, automated insight generation) with measurable value.
• Develop dashboards and stakeholder‑ready outputs; explain model results and trade‑offs.
• Collaborate cross‑functionally to define requirements, success metrics, and adoption approach.
• Own delivery for assigned work streams.

Summary:

Applies analytical and ML techniques under guidance to support forecasting/valuation and build reusable, well‑documented analyses.

• Analyze and organize customer/market data for pricing, planning, and forecasting.
• Maintain and validate existing models and recurring reports; troubleshoot data issues.
• Develop baseline statistical or ML models under guidance (e.g., regression, classification, forecasting).
• Use approved AI tools to automate routine analysis and reporting (e.g., templated notebooks, prompt‑driven summaries).
• Document assumptions, code, and data lineage; support audit and review requests.
• Continuously identify small improvements to data quality, model performance, and efficiency.

• Education
  • Required:
    
    Master’s degree in analytics, statistics, data science, computer science, or a related quantitative field
  • Preferred:
    PhD in one of the above disciplines;
    Proje…