Data Scientist

Role Overview

Senior Analyst – Data Science

Individual Contributor (IC)

Experience:

Work Location:

Key Responsibilities

• Build, validate, and document

  ML predictive models

  for automotive risk and finance use cases.
• Execute

  data extraction and transformation using SQL

  .
• Apply

  statistical modeling, regression techniques, and machine learning algorithms

  to solve automotive industry challenges.
• Interpret model inputs/outputs and provide insights into vehicle performance, risk, and financial forecasting.
• Challenge traditional automotive finance models using advanced data science approaches.
• Work independently with clients and present results effectively.

Required Skills & Expertise

• 3–5 years of experience in

  Data Science / Predictive Analytics

  .
• Strong hands-on expertise in

  Python and SQL

  .
• Experience with

  ML/statistical modeling, regression analysis, and validation

  .

• Automotive domain knowledge

  – familiarity with risk modeling, vehicle lifecycle analytics, warranty/claims analysis, or customer/finance-related insights.
• Exposure to

  Google Cloud Platform (GCP)

  is an advantage.
• Good knowledge of

  Power BI, R, Excel

  preferred.
• Strong communication and client interaction skills.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.