Data Science Platform Engineer

at  TransUnion

WHAT YOU’LL BRING:

We’re looking for a Data Science Platform Engineer to join our growing team.

Day to Day You’ll Be:

• 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:
• Manage 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 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.
• The development of effective data science workflows, the localization of global tools, and liaising with global SMEs in data science and technology.
• 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

ESSENTIAL SKILLS & EXPERIENCE:

• Bachelor’s degree in a quantitative field, for example in statistics, applied mathematics, financial mathematics, computer science, engineering.
• 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).
• Ability to apply strong project and time management skills to manage 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.
• 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.

FLEXIBILITY AT TU:

We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we’ve set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don’t let this stop you from applying. Let us know if you’re looking for a part time or flexible working arrangement and we can discuss this with you.

Please refer the Job description for details