Top 2 Data scientist manager Jobs in Auburn Hills, Mi

Predictive Analytics and Early Detection Lead
Stellantis —Auburn Hills, MI
- Databases
- 8 years
- Bachelor's degree
IT Architecture Lead Architect - AI
AlixPartners —Southfield, MI
- Full-time
- Hybrid work
- Azure
- English
- Office
- Health insurance
- Dental insurance

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Director- Data Analytics and AI
Denso —Southfield, MI
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; Master’s degree preferred. 401K with 4% Company Match.
$181,000 - $226,000 a year
Clinical Laboratory Scientist And Medical Technologist
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U.S. certification, U.S. certification eligibility, or certification assessment by: Completion of an accredited clinical internship or equivalent experience/…
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Predictive Analytics and Early Detection Lead

Stellantis -
Auburn Hills, MI

Apply Now

Job Details

Qualifications

Project team coordination
Performance dashboard reports
Dashboard development
Data visualization software proficiency
Predictive modeling analysis
Team leadership
Data preparation projects
Dashboard creation support
Internal investigations
Reporting and dashboarding tools
Trend analysis
Databases
Outlier detection
Bachelor's degree
Safety investigations
Leading team collaboration initiatives
Computer skills
Risk assessment
Predictive analytics projects
Achieving project delivery timelines
Project stakeholder communication
Cross-functional communication
Data analysis software

Full Job Description

Purpose of Position:

Provides strategic and operational leadership over Early Detection, tool development and Helpline Investigations. This role ensures early risk identification, high‑quality data analytics, effective tool development, and consistent support to investigations, recalls, and regulatory compliance activities.

Job Description:

Lead and supervise the early detection, tool development and helpline investigations team, setting priorities and aligning resources with the goal of identifying earlier detection indications of potential safety field issues.

Management will consist of establishing/tracking deliverables, escalating risk items, developing continuous process improvement initiatives (improved early detection leading indicators, process accuracy and efficiencies), and establishing synergies.
Oversee identification and analysis of emerging safety and compliance trends from structured and unstructured data sources.
Ensure consistent methodologies for trend validation, escalation, recall scope assessment, and remedy effectiveness monitoring.
Translate analytical results into clear, actionable insights for investigators and leadership.
Oversee development, maintenance, and enhancement of analytics platforms, dashboards, and investigation tools.
Ensure data anomaly detection, audits, and automated accuracy checks are established and maintained.
Serve as primary liaison with ICT on data feeds, platform changes, audits, and enhancements.
Provide oversight of Helpline intake and triage for safety, non‑compliance, and emissions concerns.
Ensure appropriate screening, escalation, confidentiality controls, and coordination with the Business Practices Office

Requirements:

Basic Qualifications:

Bachelor's degree in Data Analytics, Management Information Systems (MIS), Computer Information Systems (CIS) Information Systems, Engineering, or a related technical or quantitative discipline

Minimum of 8 years of experience working with data in a safety, regulatory, investigations, compliance, or operational analytics environment

Experience working with large, complex datasets from multiple sources, including field data, warranty data, service data, customer feedback with a focus on predictive analytics

Ability to analyze data to identify trends, patterns, gaps, and inconsistencies and clearly summarize findings

Working knowledge of reporting, data analysis, and visualization tools (e.g., Excel, databases, dashboards); ability to learn internal systems quickly

Experience supporting investigations, reporting, or program execution through timely and accurate data preparation

Strong attention to detail with the ability to manage multiple priorities and meet time sensitive deadlines

Ability to understand and break down complex data or issues into clear, actionable information

Strong written and verbal communication skills to support internal stakeholders, including investigators, program managers, and leadership

Ability to work independently on assigned tasks while collaborating effectively within cross functional teams

Ability to clearly communicate both written and verbal to management, engineering, internal and external stakeholders and regulators

Ability to lead a team in the execution of deliverables on a condensed timeline

Preferred Qualifications:

Palantir experience
Advanced degree

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data scientist manager jobs in auburn hills, mi

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IT Architecture Lead Architect - AI

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