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Data Analyst Computer Science Jobs in Rochester Hills, MI

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Develop and maintain advanced analytics capabilities essential for pricing and go-to-market ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Analyze large datasets and generate business insights. * Build NLP solutions and advanced analytics ... Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Mathematics ...

Varsity Tutors

AP Computer Science A Tutor

Detroit, MI · Remote

$18 - $40/hr

Ability to explain object-oriented programming principles, algorithm efficiency, and common data structures while preparing students for the AP Computer Science A examination including multiple ...

Rocket

Manager, Data Science

Detroit, MI · On-site

... • Query, analyze, and summarize large and complex datasets to drive business strategy and ... Bachelor's degree in computer science, statistics or a related field • Proficiency in the ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Software Engineering or a related field * 2-5 years of relevant experience in data science, analytics, machine learning ...

Rock Connections

Data Scientist

Detroit, MI

... analytics in a business setting * Master's degree in mathematics, statistics, computer science or a related field or equivalent experience * Advanced understanding of data visualization libraries

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Data Analyst Computer Science information

See Rochester Hills, MI salary details

$31.3K

$76.1K

$125.2K

How much do data analyst computer science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data analyst computer science in Rochester Hills, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Data Scientist - Commercial Analytics

Data Scientist - Commercial Analytics

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 4 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 126 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial performance measurement and growth while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Minimum of 3 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Automotive experience
  • 2+ years of experience working with commercial data
  • Experience using PySpark for distributed data processing and feature engineering
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures
  • Experience with experimental design, and statistical inference
  • Exposure to feature stores and model registries in MLOps environments
  • Experience with Power BI or similar tools for data visualization and dashboarding

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