ICT Data Analyst/Scientist

Auburn Hills, MI, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ICT
  • Predictive Analytics
  • Artificial Intelligence
  • Use Cases
  • Forecasting
  • Data Quality
  • Documentation
  • Regulatory Compliance
  • Dashboard
  • Collaboration
  • Business Data
  • Scalability
  • Python
  • SQL
  • PySpark
  • Visualization
  • Microsoft Power BI
  • Data Analysis
  • Machine Learning (ML)
  • Analytical Skill
  • Analytics
  • Cloud Computing
  • Databricks
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Communication
  • Stakeholder Engagement
  • Data Modeling
  • Semantics
  • Data Science
  • Statistics
  • Computer Science
  • Manufacturing
  • Machine Learning Operations (ML Ops)
  • Snow Flake Schema

Summary

We are seeking a strategic and hands-on Data Scientist to support Warranty Analytics and Programs within our North America Data & AI team.

The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.

This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

  • Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
  • Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
  • Apply statistical analysis and machine learning techniques to solve business and operational problems.
  • Partner with business stakeholders to understand requirements and translate them into analytical solutions.
  • Translate business needs into actionable AI use cases and technical requirements
  • Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
  • Ensure data quality, lineage, documentation, and compliance with governance requirements
  • Create dashboards and analytical outputs that drive insight adoption and operational impact
  • Collaborate with business data engineers, and platform teams on scalability, performance, and best practices

Basic Qualifications:

  • Bachelor's or in Data Science, Statistics, Engineering, Computer Science, or related field.
  • 3+ years experience as Data Scientist, Advanced Analyst, or similar role
  • Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop ).
  • Solid understanding of statistics, exploratory data analysis, and applied machine learning.
  • Experience working with large, complex datasets in enterprise environments
  • Ability to communicate analytical findings clearly to technical and non-technical audiences.
  • Proven experience delivering end-to-end analytics or data science solutions into production.
  • Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, Google Cloud Platform).
  • Strong communication and stakeholder engagement skills.

Preferred Qualifications:

  • Familiarity with data modeling, semantic layers, and enterprise data platforms.
  • Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field.
  • Industry experience in automotive and manufacturing
  • Exposure to MLOps concepts, model deployment, or monitoring
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183256
  • Position Id: 5ae880b1033c902ed86d1624784194c1
  • Posted 5 hours ago
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