2

Entry Level Data Science Jobs in Rochester, MI (NOW HIRING)

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

$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 ...

Associate Bridge Engineer

Troy, MI · On-site

$26.59 - $46.54/hr

Parsons is looking forward to hiring an entry level Associate Bridge Engineer as a new graduate ... Produce data sheets and perform technical bid analysis * CADD design and coordination including ...

Parsons is looking forward to hiring an entry level Associate Bridge Engineer as a new graduate ... Produce data sheets and perform technical bid analysis * CADD design and coordination including ...

Description • Develop, validate & standardize controls devices data parsing PLC logic, own and ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

... data models, modern web frameworks, SQL-based persistence, and increasingly cloud-native, SaaS ... Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or ...

next page

Showing results 1-20

Entry Level Data Science information

See Rochester, MI salary details

$9

$17

$24

How much do entry level data science jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for entry level data science in Rochester, MI is $17.54, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.71 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are popular job titles related to Entry Level Data Science jobs in Rochester, MI? For Entry Level Data Science jobs in Rochester, MI, the most frequently searched job titles are:
What cities near Rochester, MI are hiring for Entry Level Data Science jobs? Cities near Rochester, MI with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Rochester, MI as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $36,477 per year, or $17.5 per hour.
Supply Chain Consulting - Relex Senior Associate

Supply Chain Consulting - Relex Senior Associate

Pwc

Detroit, MI

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


PwC rating

8.4

Company rating: 8.4 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

19th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Supply Chain Consulting - Relex Senior Associate, you will specialize in optimizing operational efficiency and effectiveness within our Management Consulting practice. You will analyze client needs, develop operational strategies, and offer guidance to streamline processes, improve productivity, and drive business performance. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear.
In this role, you will work closely with clients to analyze supply chain processes, identify areas for improvement, and develop strategies to enhance efficiency, reduce costs, and increase responsiveness. You will provide guidance on technology and data analytics to create a connected and agile supply chain network. This position offers the opportunity to leverage a broad range of tools and methodologies to generate new ideas and solve problems, while upholding professional and technical standards.
Responsibilities
- Analyzing supply chain processes to identify areas for improvement and enhance operational efficiency
- Developing strategies to optimize supply chain operations and increase end-to-end visibility
- Collaborating with clients to streamline processes and improve productivity
- Utilizing data analytics to create a connected and agile supply chain network
- Providing guidance on technology solutions to enhance supply chain responsiveness
- Managing client relationships and building meaningful connections to understand their needs
- Navigating complex situations to deliver quality solutions and drive business performance
- Mentoring junior team members and fostering a collaborative work environment
- Applying critical thinking to break down complex concepts and inform strategic decisions
- Upholding professional and technical standards in all client engagements
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science
- Demonstrating proficiency in supply chain management software
- Utilizing analytical thinking to optimize supply chain performance
- Excelling in logistics management and strategic sourcing
- Developing innovative solutions for supply chain transformation
- Managing complex supply chain networks with operational excellence
- Embracing change and demonstrating learning agility in dynamic environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom