Data Science Platform Developer
This role is part of the Research & Development organization, focused on enabling and evolving enterprise data science capabilities. The team protects existing global data science environments, modernizes data science by onboarding practitioners to unified, cloud-based tooling, and continuously enhances data science and machine-learning tools to be more automated, scalable, and user-friendly.
About the role
This is a hybrid position requiring in-person work at an assigned TransUnion office location at least two days per week.
Responsibilities
- Set requirements for Global Technology to support tools and frameworks used by analysts on distributed computing systems; participate in Global Technology projects as a subject-matter expert on machine learning and scientific computing.
- Provide oversight and hands-on support for developing analytic solutions using R, Python, SQL, and Spark; formalize efforts into repeatable process improvements.
- Lead new environment setup for data science teams, owning all aspects of projects from environment design to tool development, training, and global resource coordination.
- Own data science requirements and tracking; identify strategies and opportunities to test and adopt TransUnion’s analytic products and services.
- Interact directly with matrix partners, providing an analytic perspective and general support as needed.
- Contribute to research and innovation initiatives; may lead small analytic research teams or manage research interns on a project basis.
- Participate in interviewing and evaluating new talent, mentoring junior colleagues, and fostering a high-performance culture.
Requirements
- Master’s or PhD in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or another highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five years of relevant professional experience.
- Demonstrated track record of academic excellence.
- Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML workflows for HPC modeling.
- Proficiency with statistical programs such as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray, Slurm).
- Experience with other programming languages (C/C++, Scala, Java); knowledge of Nix is a plus.
- Experience in genAI-powered machine learning, including agentic workflows, ontology designs, and Model Context Protocol (MCP) architectures.
- Familiarity with foundational LLM infrastructure, including feature stores, vector databases, and RAG for real-time AI.
- Ability to serve as a consultative first point of contact between data science practitioners and technology teams.
- Experience designing human-in-the-loop AI workflows and leading complex, multi-resource ML platform projects.
- Willingness to travel 5-10% of the time.
Benefits
- For Your Health: Day-one eligibility for medical, dental, and vision coverage; supplemental plan options; spousal, domestic partner, and eligible dependent coverage; tax-advantaged HSA and FSA accounts.
- For Your Protection: Company-paid basic life and AD&D insurance; optional voluntary life and AD&D for you and your family; short- and long-term disability; legal plan; pet insurance; travel accident coverage.
- For Your Family: Adoption assistance; fertility planning coverage; caregiver support; Dependent Care FSA with potential employer match; complimentary Care@Work membership; up to 12 weeks of paid parental leave with a gradual return option.
- For Your Future: 401(k) with employer match; Employee Stock Purchase Plan (ESPP); financial wellness resources; career coaching; optional long-term care insurance.
- For You: Tuition reimbursement; flexible or paid time off; up to 12 paid holidays per year; commuter benefits; employee discounts; charitable gift matching; paid volunteer time off; corporate volunteer events.
- For Your Wellness: 24/7 support including professional therapy, coaching, and emotional well-being programs; guided meditation; resources supporting physical, mental, social, and financial wellness.
Pay
U.S. base salary range: $90,000 – $150,000 annually. Actual compensation is based on factors such as education, training, work experience, job-related skills, location, industry knowledge, scope and responsibilities of the position, and market considerations. Regular, full-time non-sales positions may be eligible for TransUnion’s annual bonus plan. Certain positions may also qualify for long-term incentives and other payments based on company guidance and plan documents.