Lead Data Scientist

Key Skills

Apache Hive, C Programming, C++, D3.js, Data science techniques, Design, Docker, ETL frameworks, Java Programming, Kubernetes-K8s, Machine learning techniques, Microsoft Office suites, NoSQL, Python Programming, R Programming, SaaS, SPARK Programming, SQL, XML-JSON

Job Description

• 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. In either case, the candidate will demonstrate a consistent track record of academic excellence.
• Experience and demonstrated success directly supporting internal or external clients over a period of at least three (3) years and at least four (4) years of professional experience performing analytic work, preferably in industries served by Transunion. These experiences may or may not overlap.
• Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
• Advanced programming skills and aptitude; proficiency with statistical programs such as R or Python; experience with other programming and data manipulation languages (SQL, Hive, Spark, C/C++, Java, Ab Initio); high level of familiarity with Microsoft Office tools.
• Ability to lead complex analytic projects under limited supervision. This may entail the design, development, and delivery of complex solutions in close coordination with TransUnion’s Sales and vertical support teams, and in direct communication with customers.
• Strong project and time management skills to lead multiple complex projects simultaneously with limited supervision in a collaborative and fast-paced environment. This may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows.
• Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure.
• Good verbal and written communication skills in English and Spanish. Proven ability to translate technical concepts into articulate actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes.

What we'd prefer to see:

• Familiarity with identity, fraud, security, or credit bureau data and solutions.
• Experience and demonstrated success in applying predictive analytics, machine learning, simulation, and optimization techniques to generate management insights and enable customer-facing applications over a period of at least three (3) years; experience building analytical solutions that deliver value and create competitive advantage.
• The desire to work on full-stack data science solutions and engage in continuous learning.
• Experience processing large amounts of semi-structured (esp. JSON) and unstructured data.