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About the Role
REPAY is seeking a Data Scientist to design, build, and operationalize intelligent systems that extract value from data and power ML and AI-driven product capabilities. This role involves data science, applied AI (including generative AI and LLM-based systems), production-grade machine learning engineering, and advanced analytics. The Data Scientist will collaborate with Product, BI, and Data Engineering teams to establish standards, architect scalable AI systems, and deliver measurable business impact.
Responsibilities
- Deliver actionable, data-driven insights and reporting to inform business decisions and evaluate performance across products, operations, and AI systems.
- Design and maintain scalable data-to-AI pipelines covering ingestion, transformation, feature/prompt engineering, model training, orchestration, deployment, and monitoring.
- Deliver AI-driven solutions that measurably improve key product or operational metrics.
- Partner with Data and Product to identify and execute AI opportunities aligned with strategic objectives.
- Establish and enforce AI, machine learning, and data operational standards, governance, and best practices.
- Build reliable experimentation frameworks to validate model performance and business impact.
- Own the scalability, robustness, observability, optimization, and operational excellence of production AI systems and data pipelines.
- Perform exploratory data analysis and develop statistical and machine learning models to address business problems.
- Develop, fine-tune, and optimize machine learning and generative AI models, including prompt engineering strategies and structured evaluation frameworks for LLM-based systems.
- Design and build AI-powered product features, including predictive models, optimization systems, and LLM-based applications.
- Research and apply emerging AI techniques to improve product capabilities and operational efficiency.
- Develop scalable data pipelines, data models, and feature engineering workflows.
- Implement MLOps practices including CI/CD, model versioning, monitoring, and automated retraining.
- Design model-serving APIs and ensure system reliability and performance.
- Transition workloads from on-premise infrastructure to AWS and/or Azure environments.
- Design and analyze A/B tests and experiments to validate model and product performance.
- Provide business insights derived from data to guide product and strategic decisions.
- Own technical design of AI solutions in collaboration with Product, Engineering, BI, and Data teams, translating business requirements into scalable system architectures.
- Translate ambiguous business problems into well-defined data and AI solutions with clear success metrics and implementation plans.
- Maintain and enforce data quality, governance, and service standards.
- Identify trends, resolve technical issues, and recommend architectural improvements.
- Contribute to technical documentation for AI systems, infrastructure, and processes.
- Share knowledge through mentorship, technical sessions, and documentation.
- Stay current with advancements in AI, ML infrastructure, and data engineering.
- Travel occasionally to support client workshops, solution design sessions, and technical presentations.
- Perform other duties as assigned.
Requirements
- Undergraduate or Masters degree in Computer Science, Data Science, Statistics, Engineering or related field.
- Minimum of 3-5 years of designing, building, and operationalizing end-to-end data, ML, NLP and AI systems in production environments.
- Sound knowledge of machine learning lifecycle from data gathering and data preparation to feature engg to model deployment, monitoring and iteration.
- Strong programming skills in Python & SQL, experience writing production-quality code.
- Hands-on experience with LLM-based systems (e.g., RAG architectures, prompt engineering, model evaluation, API integration).
- Exposure to Databricks, AWS Bedrock, AWS Sagemaker, Cloud based AI/ML services and modern data platforms.
- Experience integrating external AI/LLM APIs and building and operationalizing application-layer AI services is desirable.
- Strong software engineering fundamentals, including experience with CI/CD, testing practices, and containerization concepts.
- Strong analytical and problem-solving skills, with the ability to translate ambiguous business requirements into structured AI and data solutions.
- Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Ability to collaborate effectively across Product, Engineering, BI, and Data teams.
- Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
- Proactive, ownership-oriented mindset with the ability to work independently and drive solutions from concept to production.
- Professionalism and composure when operating under pressure or resolving production issues.
- Eligible to work in the United States.
- This position is not eligible for hire in California.
- Not able to sponsor visas.
Skills
- Data Science
- Applied AI
- Generative AI
- LLM-based systems
- Machine Learning Engineering
- Advanced Analytics
- Python
- SQL
- RAG architectures
- Prompt engineering
- Model evaluation
- API integration
- Databricks
- AWS Bedrock
- AWS Sagemaker
- Cloud based AI/ML services
- Modern data platforms
- CI/CD
- Testing practices
- Containerization
- A/B testing
- Experimentation frameworks
- MLOps
Location
- Atlanta, Georgia
Work Type
- Full-time
Experience Level
- 3-5 years
Education Level
- Undergraduate or Masters degree in Computer Science, Data Science, Statistics, Engineering or related field
Benefits
- 100% coverage of employee healthcare premiums
- Life insurance
- Disability insurance
- Work-life balance resources
- 401(k)-employer match
- Employee Stock Purchase Plan
- Annual Bonus Program
About the Company
- REPAY is an established and fast-growing publicly traded financial technology and payment processing company headquartered in Atlanta, Georgia, with offices across the country.
- REPAY enables customers to accept payments anytime, anywhere, and through any channel while providing a secure, seamless, and enjoyable payment experience for end consumers.
- REPAY offers a comprehensive suite of electronic payment and funding solutions, including debit and credit card processing, ACH processing, Instant Funding, and electronic bill payment systems with full IVR, text, and mobile capabilities.
- The scalability of its products allows merchants of all sizes to add an instant arsenal of intelligent payment technology solutions to their businesses without significant development costs or infrastructure investments.
- In 2019, REPAY became a public company listed on the Nasdaq Stock Market (RPAY).
- For the past three consecutive years, REPAY has placed on the ACG® Atlanta Georgia Fast 40, a list recognizing the top 40 fastest-growing middle-market companies in Georgia.
- REPAY’s leadership empowers each team member to make a difference and stretch to their fullest potential.
- REPAY offers a business to casual dress code, great snacks & beverages, and open-air collaborative team settings.
- REPAY has been certified as a Great Place to Work® company for 2017, 2018, 2019, 2020, 2021, and 2022.
- REPAY supports several philanthropic initiatives every year to give back to local communities.
- REPAY creates highly sophisticated payment processing applications and is always pushing the boundaries of what is possible.
- REPAY encourages continuing education, including professional conferences and events.
- REPAY’s core values are Excellence, Passion, Innovation, Respect, and Integrity.
Equal Opportunity
- REPAY is an Equal Opportunity Employer and promotes a company culture where diversity, equity and inclusion are central.
- REPAY is committed to building teams and growing a company in which employees can succeed, regardless of race, color, national origin, sex, sexual orientation, gender identity or expression, transgender status, pregnancy, religion, age (40 and over), disability, service in the uniformed services, protected veteran status, genetic information, or any other classification protected by federal, state or local law.
- Celebrating diverse backgrounds, views, and beliefs allows REPAY to embrace uniqueness and continue to innovate and push the boundaries of what is possible.