Data Scientist

2 Months ago • 1 Years + • $67,500 PA - $112,500 PA
Data Analysis

Job Description

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. In this role, you will utilize statistical and machine learning techniques to create high-performing models, research new approaches, process and verify data integrity, perform ad-hoc analysis, and communicate results to key decision makers. You will also collaborate on technical approaches and implementation.
Good To Have:
  • Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
  • Working familiarity with cloud computing environments
  • Exposure to NLP algorithms
Must Have:
  • Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
  • Ability to research and develop new approaches, keeping up to date. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Do ad-hoc analysis and presenting results clearly.
  • Communicate results and ideas to key decision makers.
  • Create clear and easy to understand documents for models.
  • Present analysis ideas, progress reports and results to internal and external customers.
  • Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participates in collaborations for implementation.
Perks:
  • 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
  • Access to TransUnion’s Employee Resource Groups
  • Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans

Add these skills to join the top 1% applicants for this job

communication
problem-solving
risk-management
forecasting-budgeting
data-structures
game-texts
data-science
scikit-learn
decision-trees
python
keras
algorithms
sql
tensorflow
machine-learning

What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day

What You'll Bring:

  • 1+ years of practical experience working as a data scientist applying machine learning to real-world problems
  • Great communication skills to articulate technical aspect of model development to internal and external customers
  • Exposure to credit portfolio management, loss forecasting and risk management
  • Excellent understanding of machine learning techniques and algorithms, i.e., Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc.
  • Experience with common data science toolkits, such as R, Python, Anaconda, TensorFlow, SQL, Scikit-learn, Keras
  • Proven applied statistics skills, such as distributions, statistical testing, regression, regulation
  • Logical, evidence-based problem solving and critical thinking skills

We'd Love to See:

  • Graduate-level degree preferred with concentration in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or aligned discipline
  • Working familiarity with cloud computing environments
  • Exposure to NLP algorithms

Impact You'll Make:

  • Utilize statistical and machine learning techniques to create high-performing models that comply with regulatory and privacy requirements and address business objectives and client needs.
  • Ability to research and develop new approaches, keeping up to date. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Do ad-hoc analysis and presenting results clearly.
  • Communicate results and ideas to key decision makers.
  • Create clear and easy to understand documents for models.
  • Present analysis ideas, progress reports and results to internal and external customers.
  • Collaborate with Lead Data Scientist to develop technical/business approaches and new or enhanced technical tools. Participates in collaborations for implementation.

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.

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.

Benefits:

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.

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