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

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 ...

... 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 ...

... 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 ...

Environmental Field Technician

Troy, MI · On-site

$17.50 - $23.50/hr

... 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 ...

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Entry Level Data Science information

See Rochester, MI salary details

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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.

Graduate Scientist

GHD Group

Farmington Hills, MI • On-site

Full-time

Posted 11 days ago


Job description

Job Description
Help us build the future and we'll help you build a rewarding and purposeful career.
Our global network is made up of architects, designers, planners, engineers, and environmental scientists all working towards the same goal.
Join a team that brings inspirational architecture, landscapes, townscapes and places to our world, and we'll provide you unlimited space to grow.
Who are we looking for?
At GHD we are looking for a new Graduate Scientist to join the Decom & Demolition team at our Detroit, MI office. An entry-level professional in the field of Research and Development. Uses professional concepts to resolve problems of limited scope and complexity. Limited or no prior experience in this role.
Be part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment.
Working with an energetic and high performing team, this position offers a variety of work and will see you involved in:
  • Document Preparation: Organize and prepare complex documents using a variety of applications for technology devices, such as standard office software. Also responsible for gathering and summarizing data for special reports.
  • Data Collection and Analysis: Produce accurate reports for others by collecting data from a variety of standard sources and inputting it into standard formats.
  • Client & Customer Management (External): Help senior colleagues manage client and customer relationships by using relevant sales or client systems.
  • Project Management: Support others by carrying out a range of project management activities.
  • Health, Safety, and Environment: Follow the organization's health, safety, and environment (HSE) policies, procedures, and mandatory instructions to identify and mitigate environmental risks and risks to the well-being of self and others in the workplace; instruct the team in safe working methods; identify instances of risky behaviors within the team and take appropriate action, escalating serious issues as appropriate.
  • Simulation and Modeling: Engage in the design and development of complex simulations or models to optimize designs or predict risks.
  • Sampling and Testing: Collect a range of samples for laboratory testing and undertake testing in accordance with statutory frameworks and best practice to ensure compliance with regulatory standards.
  • Community of Practice Management: Participate in a community of practice in a defined area of expertise or consulting to begin to build own expertise.
  • Solutions Analysis: Interpret data and identify possible answers. Involves navigating a wide variety of processes, procedures, and precedents.
  • Personal Capability Building: Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Develop and maintain an understanding of relevant technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.
  • Insights and Reporting: Contribute to the preparation of various data and analytics reports.
  • Feasibility Studies: Contribute to and support feasibility studies from a technological and organizational perspective, and document findings.
  • Bid Solicitation/Request for Proposal/Tender Preparation: Gather information and resources to assist in drafting requests for bid solicitation requests for proposal (RFP) and requests for tender (RFT) on the requester side.

What you will bring to the Team
Education
  • Bachelor's Degree or Equivalent Level in Engineering, Geology, Environmental Science or related field.

Experience
  • General Experience: 0-2 years of experience in a related field.

#LI-AL1
As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. GHD is an equal opportunity employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, genetic information, national origin, sex (including same sex), sexual orientation, gender identity, pregnancy, childbirth, or related medical conditions, age, disability or handicap, citizenship status, service member status, or any other category protected by federal, state, or local law.