Lead Developers, Data Science & Analytics

TransUnion is seeking Lead Developers for Data Science & Analytics to collaborate with Product Development Teams, leading initiatives from design to release of new data science products. Responsibilities include technical leadership, resolving issues, improving scalability, and applying expertise in entity resolution and large-scale data fusion. The role involves designing pre-sales customer engagements, presenting plans, and innovating new product ideas within financial services, fraud, and insurance domains. Proficiency in Python, Machine Learning, AWS, and other technical tools is essential.

Must Have

• Collaborate with Product Development Teams to groom various initiatives.
• Lead design, development, testing, and release of new data science and analytics products.
• Lead team members in product design and code reviews.
• Resolve technical issues and bring in innovation that improves scalability and performance of data analytics products.
• Apply in-depth knowledge of entity resolution and large-scale data fusion.
• Design pre-sales customer data engagements.
• Present plans to both internal and external customers.
• Utilize domain knowledge in financial services, fraud, insurance, and other related industries.
• Innovate to bring new product ideas to reality.
• Master’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 2 years of experience with Software Development.
• Alternatively, Bachelor’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 5 years of progressive experience with Software Development.
• Proficiency in Python (Pandas, Scikit-Learn, Matplotlib, NLTK), C/C++, R, Java, Machine Learning, Deep Learning & Neural Networks, Generative AI, Clustering and Classification, Causal Inference, AWS, Google Cloud, SQL/NoSQL, Microsoft Azure, PySpark, Hadoop, MapReduce, Shell, Git, Jupyter Notebook, Docker, Tableau, Anaconda.

Perks & Benefits

• Flexible time off for exempt associates
• Paid time off for non-exempt associates
• Up to 12 paid holidays per year
• Health benefits (medical, dental, 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
• Access to TransUnion’s Employee Resource Groups
• Spousal, domestic partner, and other eligible dependent coverage on select health and welfare plans

We'd Love to See:

Collaborate with Product Development Teams to groom various initiatives and lead them through design, development, testing, and release of new data science and analytics products. Lead team members in product design and code reviews. Resolve technical issues and bring in innovation that improves scalability and performance of data analytics products. Apply indepth knowledge of entity resolution and large-scale data fusion. Design pre-sales customer data engagements. Present plans to both internal and external customers. Utilize domain knowledge in financial services, fraud, insurance, and other related industries. Innovate to bring new product ideas to reality. Technical Environment: Python (Pandas, Scikit-Learn, Matplotlib, NLTK), C/C++, R, Java, Machine Learning, Deep Learning & Neural Networks, Generative AI, Clustering and Classification, Causal Inference, AWS, Google Cloud, SQL/NoSQL, Microsoft Azure, PySpark, Hadoop, MapReduce, Shell, Git, Jupyter Notebook, Docker, Tableau, Anaconda.

Job Requirements

*Master’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 2 years of experience with Software Development required. Required Skills: Python (Pandas, Scikit-Learn, Matplotlib, NLTK), C/C++, R, Java, Machine Learning, Deep Learning & Neural Networks, Generative AI, Clustering and Classification, Causal Inference, AWS, Google Cloud, SQL/NoSQL, Microsoft Azure, PySpark, Hadoop, MapReduce, Shell, Git, Jupyter Notebook, Docker, Tableau, Anaconda. Some telecommuting permitted.(*Bachelor’s degree in Computer Science, Information Science, Computational Social Science or a related field plus 5 years of progressive experience with Software Development 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. - $142,210/yr.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.

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Qualified 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.