Sr. Analyst, Data Science and Analytics

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

Master's degree in Statistics, Applied Mathematics, Analytics or related field., 1 year of experience in Data Analytics., Proficiency in SQL, Hive, Linux, and various statistical analysis techniques., Experience with programming languages such as Python and R, and machine learning models..

Key responsabilities:

  • Develop credit risk management and business intelligence analytic solutions.
  • Lead analytic engagements involving descriptive, predictive, and prescriptive analysis.
  • Deliver analytic insights and recommendations through presentations to internal and external stakeholders.
  • Mentor and train junior colleagues in data analytics techniques.

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TransUnion XLarge http://www.transunion.com
10001 Employees
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Job description

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Job Description:

Sr. Analysts, Data Science and Analytics for various and unanticipated worksites throughout the U.S (HQ: Chicago, IL). Develop credit risk management and business intelligence analytic solutions through consulting engagements and research. Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added product propositions. Lead analytic engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle. Design and write programs for data extraction, segmentation and statistical analysis on large population datasets. Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience. Develop project proposals, sales presentations and promotional collateral. Mentor and train junior colleagues. Technical environment: SQL; Hive; Linux; segmentation; logistic regression; survival analysis; principal component analysis; Monte Carlo simulation; scenario & sensitivity analysis; Spark; R; Decision Tree; XGBoost; Machine Learning Model Validation & Auditing; Clustering Models; AWS; Python.

Job Requirement:
Master's degree in Statistics, Applied Mathematics, Analytics or related field plus 1 year of experience in Data Analytics required. Required skills (can be gained through experience or education): SQL; Hive; Linux; descriptive, predictive, and prescriptive analysis; segmentation; logistic regression; survival analysis; principal component analysis; Monte Carlo simulation; scenario & sensitivity analysis; Spark; R; Decision Tree; XGBoost; Machine Learning Model Validation & Auditing; Clustering Models; AWS; Python. Telecommuting permitted.

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 $93,974/yr - $112,500/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.

#LI-DNI 

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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving

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