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What We'll Bring:
Experienced data scientist with extensive mathematical programming and theoretical foundation and advanced software development skills to support development of state-of-the-art homegrown analytic platforms.What You'll Bring:
Requirements
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 seven (7) years of relevant professional experience. In either case, the candidate will demonstrate a consistent track record of academic excellence.
Advanced C++ programming skills, preferably in scientific computing applications. Experience designing and implementing advanced numerical algorithms. Experience with integrating popular machine learning frameworks (XGBoost, LightGBM, H2O).
Proficiency with statistical languages such as R or machine learning packages for Python; experience with other programming languages (Scala, Java) and HPC environments (Slurm, Univa, SGE, Torque).
Advanced SQL programming skills and experience with big data platforms (Hadoop, Spark, Hive); knowledge of Apache Arrow is a plus.
Experience engineering connections between big data frameworks and front end applications (Shiny, Streamlit, Dash, Tableau).
Demonstrate interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing.
Ability to apply strong project and time management skills to lead multiple projects simultaneously with limited supervision in a collaborative and fast-paced environment.
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. • Versatile interpersonal skills with the ability to effectively communicate at multiple levels within and outside the organization
Proven ability to operate effectively in a complex and dynamic, matrixed environment.
Good verbal and written communication skills. Proven ability to translate technical concepts into actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside the organization towards desired outcomes.
Ability to travel 10-20% of the time.
Impact You'll Make:
You will partner with internal and external cross-functional teams to drive the setup and ongoing success of new data science environments in multiple markets. Tasks will include – among others – the development of effective data science workflows, the localization of global tools, and liaising with global SMEs in data science and technology.
Lead the development of analytic solutions using languages such as C++, R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements.
Assist Global Technology with maintenance of the tools and frameworks used by analysts on the high-performance computing (HPC) cluster and be a lead representative of the Data Science Development team in projects led by Global Technology as a subject matter expert on machine learning and scientific computing.
Own data science consulting responsibilities for a variety of regions, working to identify strategies and opportunities to test and adopt TransUnion’s analytic products and services. In this capacity, you will 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, as needed.
Participate in interviewing and evaluation of new talent, mentoring and training of junior colleagues, fostering a high-performance culture, and cultivating an environment that promotes excellence and reflects the TransUnion brand.
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This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.TransUnion Job Title
Sr Consultant, Data Science and Analytics