Senior Data Scientist
On-siteAlpharetta, Georgia, United States
Job Summary
Develop machine learning models and analytical methods to support Merchant Opportunity Analysis and the Offer Engine, focusing on segmentation, recommendation, propensity, and personalization. Analyze customer, merchant, and operational data to identify patterns that improve onboarding experiences and customer acquisition outcomes. Partner with Data & ML Engineers to define feature requirements, validate quality, and transition models into production workflows while designing and evaluating A/B tests and KPI frameworks. Monitor model performance, drift, fairness, and explainability in collaboration with engineering teams to ensure responsible AI practices and business effectiveness.
Required Qualifications
- 8+ years of experience in data science, machine learning, applied statistics, advanced analytics, or ML engineering
- Strong hands-on experience with Python, SQL, pandas, scikit-learn, and common data science libraries
- Experience building classification, clustering, recommendation, propensity, ranking, segmentation, or similarity-based models
- Experience working with customer, merchant, application, product, transaction, or behavioral datasets
- Strong understanding of feature engineering, model validation, experimentation, performance measurement, and model explainability
- Experience using cloud-based data and ML platforms such as AWS SageMaker, Snowflake, S3, Glue, or comparable platforms
- Ability to partner with engineering teams to productionize models and support MLOps practices
- Strong analytical storytelling skills with the ability to explain model outcomes, trade-offs, and recommendations to non-technical stakeholders
- Understanding of data quality, model drift, bias, fairness, monitoring, and responsible AI practices
- Strong collaboration skills across product, engineering, analytics, marketing, and business teams
- Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field (or equivalent industry experience)
- On-site Monday through Friday
- Full-time, direct-hire position
- Standard background checks
- Eligibility for federal contract employment (if applicable)
- Eligibility for state and/or local contract employment (if applicable)
- Not located in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island, Vermont, Virginia, Maine or Washington
Desired Qualifications
- Experience supporting offer engines, recommendation systems, personalization platforms, customer acquisition, or digital onboarding
- Experience with nearest-neighbor matching, merchant segmentation, propensity modeling, uplift modeling, next-best-action, or look-alike modeling
- Experience designing experiments, A/B tests, champion/challenger models, and business impact measurement frameworks
- Experience with MLOps, model registries, feature stores, automated retraining, and model monitoring
- Experience within financial services, fintech, payments, merchant services, or digital commerce
- Experience with Generative AI, LLM-powered analytics, Agentic workflows, or AI-assisted model development
- Advanced degree in data science, statistics, computer science, engineering, mathematics, economics, or a related field
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