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Advisors, Data Science & Analytics for various & unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Lead internal teams to drive innovation initiatives and deliver long term value-added propositions for internal customers. Independently develop new model architectures and frameworks, training methodologies, data representation, validation and evaluation, and integration of state-of-the-art approaches such as generative AI. Design and write programs and scripts in various languages such as Python, SQL, R, SparQL on-prem, and other big data computing platforms. Engage in large-scale model training using distributed processing systems such as Ray and SPARK. Design and develop deep learning systems that can operate on tabular and graph data which requires advanced knowledge in network architectures and graph computations. Design and implement AI systems that leverage agent-based architectures using well-known frameworks (e.g., LangChain, Pydantic AI, DsPy), enabling dynamic, contextaware decision-making and interaction across enterprise applications. Stay abreast of cutting-edge research and translate academic advancements into practical solutions. Deliver analytic insights and recommendations in succinct and compelling presentations for internal stakeholders and senior management. Identify strategies and opportunities for automation. Provide mentorship and training to junior colleagues and maintain progress on all initiatives without supervision. Technical Environment: Python, SQL, R, SparQL, Ray, SPARK, LangChain, Pydantic AI, DsPy, Graph Neural Networks, Hive, PyTorch, TensorFlow, Scikit-learn, JAX, AWS, GCP, MLOps practices and lifecycle management, Machine Learning, Kubernetes, MATLAB, data modeling, ontology development.Job Requirements
- Master’s degree in Computer Science, Mathematics, Statistics, or a related field plus 3 years of experience in data analytics required. Required skills: Python, SQL, R, SparQL, Ray, SPARK, LangChain, Pydantic AI, DsPy, Graph Neural Networks, Hive, PyTorch, TensorFlow, Scikit-learn, JAX, AWS, GCP, MLOps practices and lifecycle management, Machine Learning, Kubernetes, MATLAB, data modeling, ontology development. Telecommuting Permitted. (*Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field plus 6 years of progressive experience in data analytics also acceptable).
Benefits & Pay Scale Information:
TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans.
The U.S. base salary range for this position is $142, 210/yr - $144, 244/yr +benefits (www.transunion.com/about-us/careers/life-at-tu) annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.
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.
#BI-DNIQualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
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