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Entry Level Data Science Jobs in Michigan (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Remote Software Engineer

Ann Arbor, MI

$50.75 - $69.50/hr

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for ...

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

As of Jun 18, 2026, the average hourly pay for entry level data science in Michigan is $16.61, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.65 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 the most commonly searched types of Data Science jobs in Michigan? The most popular types of Data Science jobs in Michigan are:
What are popular job titles related to Entry Level Data Science jobs in Michigan? For Entry Level Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Michigan look for? The top searched job categories for Entry Level Data Science jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Data Science jobs? Cities in Michigan with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Entry Level Software Engineer

Entry Level Software Engineer

SynergisticIT

Detroit, MI

Other

Posted 5 days ago

Job description

Job Opportunities At SynergisticIT

SYNERGISTICIT wants all candidates to know that the job market is tough, and to stand out, you need excellent skills and knowledge. That's where we come in—we ensure you get the attention you deserve.

Positions Available

We welcome applications from all visa holders and U.S. citizens. Since 2010, SynergisticIT has helped thousands of candidates find jobs with major tech companies like Apple, Google, PayPal, Western Union, Client, Visa, Walmart Labs, and more. We have a strong reputation with our clients. We are currently looking for entry-level software programmers, IT enthusiasts, Python/Java developers, and data analysts/data scientists.

Who Should Apply?
  • Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in the IT industry.
  • Candidates who are focused on their future in IT and have big goals.
  • Those struggling to find jobs, crack interviews, or improve their skills.
Skill Enhancement Programs

We offer programs to help candidates improve their skills and experience, ensuring they meet client requirements. These programs are ideal for:

  • Candidates with no experience.
  • Those returning to work after a career break.
  • Candidates lacking technical skills or knowledge.
  • Visa holders who want to work and settle in the USA.

If candidates already have the necessary skills, skill enhancement is not required. Please also check the below links: Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT

Skill Enhancement Option:

If a candidate doesn't meet the requirements, they can choose skill enhancement to improve their qualifications.

Required Skills for Java/Software Programmers:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and knowledge of the software development life cycle.
  • Understanding of Core Java, JavaScript, C++, or software programming.
  • Familiarity with Spring Boot, Microservices, and REST APIs.
  • Excellent written and verbal communication skills.
Required Skills for Data Science/Machine Learning:
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, IT, or Information Systems.
  • Strong motivation, eagerness to learn, and curiosity about technology.
  • Experience with Java programming and understanding of the software development life cycle.
  • Knowledge of Statistics, Python, and data visualization tools.
  • Excellent written and verbal communication skills.
Preferred Skills:

For Data Science/Machine Learning roles: NLP, text mining, Tableau, and time series analysis.

Additional Information:
  • Candidates need to meet client skill requirements to be selected, even for junior or entry-level roles. Additional skills help candidates stand out.
  • We do not accept applications from third-party candidates or c2c candidates.
  • Please apply through the posting.
  • No phone calls, please. Only shortlisted candidates will be contacted.

Apply