Data Science Platform Developer

Role Overview and Core Responsibilities Set requirements for Global Technology to support the tools and frameworks used by analysts on distributed computing systems and participate in projects led by Global Technology as a subject matter expert on machine learning and scientific computing. Provide oversight and hands‑on support for the development of analytic solutions using languages such as R, Python, SQL, and Spark, formalizing some of these efforts into repeatable process improvements. Lead new environment setup on behalf of data science teams. As a project leader, take ownership of all aspects of the project from environment design, to tool development, to training, and to global resource coordination. Own data science requirements and tracking, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. Interact directly with TransUnion’s matrix partners and provide an analytic perspective and general support as needed. Contribute to research and innovation initiatives in collaboration with other DSA peers and may lead small analytic research teams or manage research interns on a project basis. Participate in interviewing and evaluation of new talent, mentoring and training junior colleagues, fostering a high‑performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand. Required Knowledge and Experiences Master’s or PhD degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative field; or a Bachelor’s degree in a quantitative field with at least five (5) years of relevant professional experience, demonstrating a consistent 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), and other programming languages (C/C++, Scala, Java); knowledge of Nix is a plus. Experience in genAI‑powered machine learning, such as agentic workflows, ontology designs, and Model Context Protocol (MCP) architectures, alongside foundational LLM infrastructure including feature stores, vector databases, and RAG for real‑time AI. Readiness to serve as a consultative first‑point‑of‑contact between data science practitioners and technology teams, interface independently with stakeholders to design human‑in‑the‑loop AI workflows and lead complex multi‑resource ML platform projects. Ability to travel 5‑10% of the time. Pay Scale Information The U.S. base salary range for this position is $90,000.00 – $150,000 annually. This range reflects a reasonable estimate of the range of compensation for this job. Actual compensation is based on additional factors such as education, training, work experience, job‑related skill set, location, and market considerations. Regular, full‑time non‑sales positions may be eligible to participate in TransUnion’s annual bonus plan and may qualify for long‑term incentives and other payments under company guidance. Benefits We design benefits to help you feel well, do well, and plan well—from day one. Core offerings include: day‑one eligibility for medical, dental, and vision coverage; supplemental plan options; spousal and domestic partner coverage on select plans; tax‑advantaged HSA and FSA accounts; company‑paid basic life and AD&D; optional voluntary life and AD&D; short‑ and long‑term disability; legal plan, pet insurance, and travel accident coverage; adoption assistance; fertility planning coverage; caregiver support; dependent care FSA; View email address on click.appcast.io membership; paid parental leave up to 12 weeks; 401(k) with employer match; Employee Stock Purchase Plan (ESPP); financial wellness resources; career coaching; optional long‑term care insurance; tuition reimbursement; flexible time off; paid holidays; commuter benefits; employee discounts; charitable gift matching; paid volunteer time off; 24/7 mental, emotional, and physical wellness support. Equality, Diversity, and Inclusion We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity, or any other characteristic protected by law. We also take affirmative action to employ and advance qualified individuals with a disability and protected veterans in all levels of employment. Job Details Internal Job Title: Sr Consultant, Data Science and Analytics #J-18808-Ljbffr TransUnion