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Full Time Data Scientist Risk Jobs in Detroit, MI

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Collaborates with data scientists, analysts, and business stakeholders to understand data ... Experience transitioning a contractor-heavy team toward a stronger full-time core without ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Collaborates with data scientists, analysts, and business stakeholders to understand data ... Experience transitioning a contractor-heavy team toward a stronger full-time core without ...

Advantasure, Inc.

Audit Data Analyst

Detroit, MI · On-site

Lead analytics projects and teams to identify key risk and performance metrics utilizing testing ... Bachelor's Degree in Accounting, Computer Science, Data Science or related field required. * Two ...

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All JobsData Scientist Risk JobsFull Time Data Scientist Risk JobsFull Time Data Scientist Risk Jobs in Detroit, MI

Full Time Data Scientist Risk information

See Detroit, MI salary details

$37.1K

$121.5K

$194.5K

How much do full time data scientist risk jobs pay per year?

As of Aug 14, 2026, the average yearly pay for full time data scientist risk in Detroit, MI is $121,507.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

Is a full time data scientist risk a risky job?

A full-time data scientist risk role involves analyzing data to identify potential threats and inform decision-making, which can be high-pressure but is generally not considered physically risky. The job often requires strong analytical skills, proficiency with tools like Python or R, and the ability to handle sensitive information, but it typically involves office or remote work environments with standard working hours. Overall, it is not inherently risky compared to physically demanding or hazardous occupations.

What are the most commonly searched types of Data Scientist Risk jobs in Detroit, MI?

The most popular types of Data Scientist Risk jobs in Detroit, MI are:

Full Time Data Scientist Risk jobs near you

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

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Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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