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Entry Level Data Science Jobs in Rochester Hills, 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 ...

... 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

$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 ...

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 ...

Cloud Automation Engineer

Allen Park, MI · On-site

$50.75 - $68/hr

The CT ® solution combines comprehensive data acquisition methods with a powerful edge and cloud ... Engineer, entry level. This position will be working on the IT Solutions team to automate ...

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Entry Level Data Science information

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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 Hills, 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 job categories do people searching Entry Level Data Science jobs in Rochester Hills, MI look for? The top searched job categories for Entry Level Data Science jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Entry Level Data Science jobs? Cities near Rochester Hills, MI with the most Entry Level Data Science job openings:
Research Assistant - Department of Oncology

Research Assistant - Department of Oncology

Wayne State University

Detroit, MI • On-site

$19 - $26.25/hr

Full-time

Posted 9 days ago


Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

242nd of 539 rated colleges and universities


Job description

Research Assistant - Department of Oncology
Wayne State University is searching for an experienced Research Assistant - Department of Oncology at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Perform laboratory based scientific techniques or clinical/population science (human subjects) research. Design and perform experiments, recruit participants for studies by developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments/research protocols as required. Communicate with principal investigator and Postdoctoral scholars/fellows on the status of research.
Collect and log laboratory results, clinical outcomes and/or survey data. Evaluate and perform data analysis using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Proofread and edit research data and documents to ensure accuracy.
Assist principal investigator with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific and academic conferences and submittal to academic and scholarly peer-reviewed journals.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Responsible for IRB approval, regulatory document maintenance, participant screening and recruitment coordination of participant follow-up, data collection and database maintenance for research projects managed by the lab. Assist with study participant recruitment, obtaining informed consent, and data entry. Perform other research tasks including literature reviews, preparing manuscripts, data analysis, abstract and conference presentations, and community outreach. Scholarly opportunities (e.g., authorship of conference presentations, manuscripts) will be available.
Qualifications:
Education: Bachelor's degree
Bachelor'sdegree in a related field of study, preferred. Requires advanced knowledge predominantlyintellectual in character in a field of science or learning acquired by aprolonged course of specialized intellectual instruction.
Experience: Entry level (less that a year of job-related experience)
Experience performing basic research techniques or interacting with humansubjects, preferred.
Knowledge,Skills and Abilities:
Abilityto work independently. Ability toanalyze, summarize and interpret research findings and data in reports and spreadsheetsand communicate results. Knowledgeof scientific integrity principles. Excellent timemanagement and organization skills. Excellent interpersonal and communication skills anddemonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
Bachelor's degree in a related field of study, preferred. Experience performing basic research techniques or interacting with human subjects, preferred. Knowledge of research design, protocols, and analysis; knowledge of regulatory aspects of clinical research. Experience using data processing and statistical software (e.g. Qualtrics, Microsoft Excel, SPSS; R)
School/College/Division:
H06 - School of Medicine
Primary department:
H0632 - Oncology
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Hourly rate:
  • Salary minimum:
  • Salary hire maximum:
Working conditions:
Typical work environment may include a laboratory and/ or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
  • Reposted position: No
  • Reposted reason: None (New Requisition)
  • Prior posting/requisition number:
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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