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Junior Data Scientist Jobs in Rochester, MI (NOW HIRING)

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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. Key ...

The ideal candidate will possess a strong background in machine learning, data science, AI frameworks, and cloud technologies, along with the ability to translate business challenges into scalable AI ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

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. Key ...

Machine Learning Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO) . This role will leverage ...

Showing results 41-60

Junior Data Scientist information

See Rochester, MI salary details

$34.5K

$113K

$180.9K

How much do junior data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior data scientist in Rochester, MI is $112,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $125,200.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What skills and qualifications are needed to thrive as a junior data scientist?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects does a junior data scientist typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What is a junior data scientist?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
What are the most commonly searched types of Data Scientist jobs in Rochester, MI? The most popular types of Data Scientist jobs in Rochester, MI are:
What are popular job titles related to Junior Data Scientist jobs in Rochester, MI? For Junior Data Scientist jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Junior Data Scientist jobs in Rochester, MI look for? The top searched job categories for Junior Data Scientist jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Junior Data Scientist jobs? Cities near Rochester, MI with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Rochester, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,975 per year, or $54.3 per hour.

Senior Data Scientist Location:- Auburn Hills,MI Duration:- Full Time

Siri InfoSolutions Inc

Troy, MI • On-site

Full-time

Re-posted 16 days ago


Job description

Senior Data Scientist

Location:- Auburn Hills,MI

Duration:- Full Time

Job Description

  • Proficiency in Python or R for data analysis and modeling.
  • Strong knowledge of SQL and working with relational databases.
  • Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc). 
  • Experience in Forecasting will be added advantage"
  • Solid understanding of statistics, probability, and hypothesis testing.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
  • Experience with big data tools (e.g., Spark, Hadoop).
  • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Experience in MLOP's and CI/CD work flow
  • Expeirence in developing end to end pipeline in any of cloud platform (AWS,Azure etc.) 

 

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005