Remote Senior Predictive Analytics & ML Specialist

creditacceptance

United States

Remote

USD 128,000 - 165,000

Full time

10 days ago
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Benefits offered by this job

401(K) match
Tuition reimbursement

Job summary

Credit Acceptance is a data-driven lender seeking a qualified analytics professional to develop and maintain statistical and machine learning models for high-volume decisions. This role offers remote work with occasional travel to our Southfield, Michigan office.

You will translate business questions into analytical tasks, write SQL and Python code, monitor models in production, and ensure data quality for decision support.

Qualifications

  • Bachelor's degree or higher in a quantitative field (e.g., statistics, mathematics, economics, engineering, computer science, or related discipline).
  • 3+ years of experience applying analytical and programming skills in a business or research environment.
  • Proficiency in Python, SQL, R, or SAS.

Responsibilities

  • Develop and maintain complex statistical and machine learning models for high-volume, data-driven decisions.
  • Actively monitor models in production and identify performance issues.
  • Develop SQL and analytical code to extract and validate large multi-source datasets.
  • Perform ad hoc analyses to address business questions and inform strategy.
  • Translate business objectives into analytical tasks and modeling approaches.
  • Ensure data quality and support production deployment testing.

Skills

Python
SQL
R
SAS
Analytical skills
Data manipulation

Education

Bachelor's degree or higher in a quantitative field

Tools

SQL

Job description

Credit Acceptance is a data-driven lender seeking a qualified analytics professional to develop and maintain statistical and machine learning models for high-volume decisions. This role offers remote work with occasional travel to our Southfield, Michigan office.

You will translate business questions into analytical tasks, write SQL and Python code, monitor models in production, and ensure data quality for decision support.

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