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Entry Level Data Scientist Jobs in Michigan (NOW HIRING)

Collaborate with data engineers, data scientists, and UX partners as requiredโ€‹ * Apply feedback ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

Collaborate with data engineers, data scientists, and UX partners as requiredโ€‹ * Apply feedback ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

An entry-level professional in the field of Research and Development. Uses professional concepts to ... Data Collection and Analysis: Produce accurate reports for others by collecting data from a variety ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Scientist information

See Michigan salary details

$40.1K

$143.8K

$212.2K

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

As of Jul 26, 2026, the average yearly pay for entry level data scientist in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 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 Michigan? The most popular types of Data Scientist jobs in Michigan are:
What are popular job titles related to Entry Level Data Scientist jobs in Michigan? For Entry Level Data Scientist jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Michigan look for? The top searched job categories for Entry Level Data Scientist jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Data Scientist jobs? Cities in Michigan with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Michigan as of July 2026, with employment types broken down into 85% Full Time, 5% Part Time, and 10% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.
Software Engineer - Entry Level (Java/Data Science)

Software Engineer - Entry Level (Java/Data Science)

SynergisticIT

Ann Arbor, MI โ€ข On-site

$50.75 - $69.50/hr

Other

Posted 9 days ago


Job description

Entry-Level Data Scientist / Java Developer โ€” Choose a Path With Support If you are applying everywhere but not getting responses, it may be time to stop guessing and start building a structured plan. Many candidates are interested in both software and data careers but do not know which path fits their strengths or how to present themselves to employers. SynergisticIT is considering candidates for entry-level Java developer, Python developer, software programmer, data analyst, data engineer, data scientist, and ML/AI programmer paths. This opportunity is ideal for candidates who want guidance, stronger skills, better projects, and a more focused job-search strategy. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. 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 full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Explore JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT JOPP is good because it helps candidates close the gap between coursework and hiring expectations. Whether your direction is Java, full stack, DevOps, analytics, data science, or AI, the program helps emphasize practical skills, project work, resume preparation, interview readiness, and job-market execution. Choose a career path with structure and supportโ€”contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.