Senior Data Scientist

Danology is hiring a Senior Data Scientist for financial services, focused on building and deploying credit risk, fraud detection, and customer analytics models. This hybrid role is based in Greenville, SC and includes end-to-end ownership of client engagements, collaboration with technical teams, and mentorship of junior data scientists.

Key Responsibilities

• Lead data science delivery on client engagements, from initial scoping through final delivery.
• Manage typically 1–2 engagements at a time.
• Build, validate, and deploy credit risk models, including probability-of-default, loss forecasting, and scorecard development.
• Build, validate, and deploy fraud detection models, including transaction monitoring and near-real-time anomaly detection.
• Build, validate, and deploy customer analytics models, including segmentation, churn, and next-best-offer modeling.
• Translate ambiguous business needs into clear modeling problem statements and communicate modeling tradeoffs to clients.
• Produce documentation suitable for model risk management review, including SR 11-7 or similar requirements.
• Present results to client executives and to technical teams.
• Mentor 2–3 junior data scientists through code reviews and methodology discussions.

Required Qualifications

• 5+ years of data science experience, including 2–3 years working with financial services data.
• Strong Python skills (pandas, scikit-learn, XGBoost/LightGBM) and SQL; R is a plus.
• Experience deploying models on AWS or Azure.
• Working knowledge of credit products and relevant regulations (for example, fair lending and model governance).
• Ability to work directly with clients and lead projects with minimal supervision.
• Master’s or PhD in a quantitative field preferred; equivalent experience will be considered.

Technologies

• Python, pandas, scikit-learn, XGBoost, LightGBM, SQL, R
• AWS, Azure, Spark, Databricks

Benefits

• Health, dental, and vision insurance, with 80% of employee premiums covered.
• 401(k) with a 4% company match.
• 15 days PTO plus 10 paid holidays.
• $2,500 annual training and conference budget.
• Company laptop.
• $500 home office stipend.

Nice to Have

• Prior consulting experience.
• Experience with explainability methods such as SHAP or reason codes for adverse action notices.

Hiring Process

• 30-minute intro call with the founder.
• 60-minute technical conversation about past modeling work (no live coding).
• Case discussion based on a realistic client scenario.
• Offer typically within 2–3 weeks of first contact.

Role Details

• Location: Greenville, SC (hybrid)
• Compensation: USD 115,000–125,000 per year