Senior Data Scientist
On-siteAtlanta, Georgia, United States
Job Summary
Own machine learning models end-to-end by building, deploying, monitoring, and maintaining production-grade solutions for forecasting, regression, classification, and GenAI productivity tooling. Translate ambiguous business problems into well-defined modeling approaches using an 80/20 style, writing clean, tested Python and applying MLOps fundamentals like CI/CD on Google Cloud Platform. Raise engineering standards by teaching craft, authoring reusable internal libraries, and partnering directly with investment teams and owned-business stakeholders to deliver scalable analysis. Ensure rigor in model validation and documentation while staying current on advances in applied analytics for private equity and consumer businesses. This hands-on individual-contributor role supports collaboration across a fast-paced, entrepreneurial team focused on leveraging data science to guide profitable growth.
Required Qualifications
- Bachelor's degree in a quantitative discipline (computer science, data science, engineering, mathematics, statistics, economics, or similar)
- 5–8 years of applied data science experience, operating with senior-level autonomy and requires minimal coaching or guidance
- Demonstrated breadth: has shipped a variety of models; from forecasting, regression, and classification work, and is comfortable across the core algorithm families
- Has owned at least one model in production — deployed, monitored, and maintained (not proof-of-concept only)
- Strong software craft in Python: clean, tested, reusable code; Git; code review; and packaging
- Cloud deployment experience (Google Cloud Platform preferred — Vertex AI, BigQuery, Cloud Run) and MLOps fundamentals you can teach others: CI/CD for ML, reproducibility, deployment, and monitoring
- Evidence of having raised others’ engineering standards, not only your own
- Client- and stakeholder-facing delivery experience, Either Consulting engagements or as cross-functional business support
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
- Role is based in Atlanta, GA
- Regression and classification across a range of business problems
- Pricing and promotion analytics
- Marketing Analytics
- Customer and unit economics modeling
- Experiment design and measurement
- Forecasting and demand prediction, including unit-level forecasting
- Python and SQL
- Cloud platforms, Google Cloud Platform preferred (Vertex AI, BigQuery, Cloud Run)
- MLOps tooling: CI/CD for ML, reproducibility, deployment, and monitoring
- Generative AI coding productivity tools (Claude Code, Cursor, etc.) – Candidate should be comfortable using AI tools to be a more efficient and stronger Data Scientist
Desired Qualifications
- Master's Degree preferred
- Generative AI / agentic development experience — Mastra, LangGraph, RAG, and LLM applications
- Domain adjacency: QSR, multi-unit consumer, retail, CPG, or franchise businesses; unit-level forecasting
- Orchestration and pipeline experience: Airflow, dbt, Dataflow
- Has authored reusable IP — internal libraries, templates, or standards documentation
- High standards of integrity, accountability, character, and professionalism
- A self-sufficient Developer who delivers on time analysis and code
- Raises the craft of those around them rather than only their own output
- Hands-on, pragmatic, and results-oriented, with a bias for action and a willingness to roll up sleeves to get the job done
- Comfortable working across a wide variety of tasks; gets up to speed on a new project quickly and adds value in an agile fashion
- Works in an 80/20 style — does not need the perfect dataset to get started, and balances speed and impact with technical rigor
- Thrives in a fast-paced, high-demand environment with multiple competing priorities; self-starter with a sense of urgency to deliver under tight deadlines
- Low-ego team player who enjoys collaborating with high-intellect colleagues and stakeholders across various functions and backgrounds
- Effective interpersonal and communication skills, with a demonstrated ability to collaborate with partners across different functions, backgrounds, and levels of seniority
- Quick learner, high curiosity; strong problem-solving and conceptual skills
- Entrepreneurial, agile mindset; someone who wants to take part in building a world-class analytics organization
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