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Entry Level Data Scientist Jobs in Rochester, MI

... data from municipal water/wastewater systems which is used to help improve these systems ... This is an entry-level opportunity where training and development will be provided. Responsibility ...

The entry level role will work on projects for large and small customers with aggressive timelines ... Bachelor of Science in Mechanical Engineering or related * Exposure to complex mechanical systems ...

Controls Engineer

Detroit, MI ยท On-site

$82K - $106K/yr

Ensures integrity of process and data collection. * Analyze existing systems and develop solutions ... Lead and mentor co-ops, interns, entry level engineers. * Support plants and their controls teams ...

This entry-level position will perform Finite Element Analysis (FEA) to solve CAE NVH / Durability ... data-retention policies. Minimum Requirements: * Bachelor of Science in Mechanical or Aerospace ...

This entry-level position will perform Finite Element Analysis (FEA) to solve CAE NVH / Durability ... data-retention policies. Minimum Requirements: * Bachelor of Science in Mechanical or Aerospace ...

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... LG Chem has a newly created entry level, 12-month Logistics Internship position in Troy, MI . This ...

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... LG Chem has a newly created entry level, 12-month Logistics Internship position in Troy, MI. This ...

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

"We connect science to life for a better future." With 50,000 patents, 20,000 employees and 58 ... LG Chem has a newly created entry level, 12-month Logistics Internship position in Troy, MI. This ...

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Entry Level Data Scientist information

See Rochester, MI salary details

$42.3K

$151.9K

$224.1K

How much do entry level data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for entry level data scientist in Rochester, MI is $151,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,500.00 per year, depending on experience, location, and employer.

What Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

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 Entry Level Data Scientist jobs in Rochester, MI? For Entry Level Data Scientist jobs in Rochester, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Rochester, MI look for? The top searched job categories for Entry Level Data Scientist jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Entry Level Data Scientist jobs? Cities near Rochester, MI with the most Entry Level Data Scientist job openings:
Powertrain Process Engineer

Powertrain Process Engineer

Onward Technologies Ltd

Auburn Hills, MI โ€ข On-site

Contractor

Re-posted 11 days ago


Job description

\n <\/head>\n \n
    \n
  • Description:<\/span>The "Quality\-&\-Process Engineer" of the Emissions\-&\-FE\-Testing Department is responsible for, but not limited to: Procedure documentation, assessments for efficiency (process capability, cycle\-time, downtime data with impact categorization, and FTC monitoring); DFSS\/DMAIC project execution; and implementation of lean process methodologies, continuous quality\-improvement strategies, and autonomous mitigation\/prevention of test issues aimed at both quality improvements and cost reductions.<\/span><\/li>\n
  • Requirements:<\/span>

    Travel and Driving Notes<\/u><\/b>:<\/p>

    May be required to drive a company car. A valid driver's license is required as well as a clean driving record. May be required to travel domesticallyย up to 20%<\/p>

    Requirements:<\/u><\/b><\/p>

    Bachelor of Science degree in Engineeringย from an ABET accreditedย university.<\/p>

    NO ENTRY LEVEL!ย <\/p>

    Minimum of 2 years hands\-on experience in defining and\/or applying process improvement techniques for Key Performance Indicators [Safety, Quality, Delivery, Cost, Morale].<\/p>

    Experience with full process quality deployment and optimization in a high\-paced production or test environment.<\/p>

    Strong communication skills, both verbal and written.ย <\/p>

    Experience with engineering standard measurement techniques and tools (MS Office Suite, Minitab, SPC, distributions, etc.)<\/p>

    Proficiency with:ย DFSS\/DMAIC\/Six\-Sigma and root\-cause analysis tools (PFMEA, 8D. 5S. Kaizen. Gage R&R. ANOVA. ISO\-12207.<\/p>

    Preferred Qualifications<\/u><\/b>:<\/p>

    Master of Science degree from an ABET accredited university.<\/p>

    Experience in project management including MS Project.<\/p><\/span><\/li>\n <\/ul>\n <\/body>\n<\/html>