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Data Science Jobs in Jackson, MI (NOW HIRING)

Tech Tammina LLC

Data Analyst II

Jackson, MI · On-site

Data Analyst II Location: Jackson, MI (Onsite/ Hybrid) Duration: Long term Rate: Market Duties: · We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer ...

Consumers Energy Company

Sr Data Analyst

Jackson, MI · On-site

$78K - $98K/yr

The Senior Data Analyst plays a critical role in developing, enhancing, and maintaining standardized company data models. This position requires familiarity with at least one data domain and subject ...

Koppert Biological Systems

R&D Scientist I

Howell, MI · On-site

... science or related field required. * Experience with hymenopterans and insect genetics required. * Experience using statistical software packages (i.e. Minitab, R, etc.) to analyze data sets of ...

Koppert

R&D Scientist I

Howell, MI · On-site

... science or related field required. * Experience with hymenopterans and insect genetics required. * Experience using statistical software packages (i.e. Minitab, R, etc.) to analyze data sets of ...

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All JobsData Science JobsData Science Jobs in Jackson, MI

Data Science information

See Jackson, MI salary details

$34.1K

$111.7K

$178.8K

How much do data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science in Jackson, MI is $111,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,600.00 and $123,700.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Jackson, MI? For Data Science jobs in Jackson, MI, the most frequently searched job titles are:
What cities near Jackson, MI are hiring for Data Science jobs? Cities near Jackson, MI with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Jackson, MI as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $111,669 per year, or $53.7 per hour.
Business Intelligence Analyst

Business Intelligence Analyst

Tech Tammina LLC

Jackson, MI • On-site

Contractor

Posted 23 days ago

Job description

Role: Business Intelligence Analyst

Location: Jackson, MI (4 days onsite and 1 day remote)

Duration: Long term

Rate: Market

Key Responsibilities:

  • Develop and deliver intuitive Power BI dashboards, visualizations, and reports to meet organizational and program management needs.
  • Document, map, and maintain internal data flow diagrams to illustrate how data moves through various business processes.
  • Design and optimize queries and data models within Power BI, emphasizing performance, accuracy, and clarity of visualization.
  • Collaborate effectively across teams, clearly communicating technical insights and dashboard functionalities to both technical and non-technical stakeholders.
  • Monitor data quality and troubleshoot issues to maintain data integrity and reliable reporting outcomes.
  • Proactively identify opportunities for continuous improvement in data management, reporting efficiencies, and visualization standards.

Required Skills:

  • Proficiency in Power BI dashboard development, Power Query, and data visualization best practices.
  • Strong database skills, with particular proficiency in SQL.
  • Excellent interpersonal and communication abilities, capable of working across internal and external stakeholders.
  • Proven ability to deliver data-driven insights and dashboards on schedule to support timely decision-making.

Preferred Skills:

  • Python programming experience or familiarity with scripting for data automation.
  • Experience working within project-driven environments or supporting Program Management offices (PMO).

Education and Experience:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a closely related field preferred.
  • 3-5 years of professional experience in a technical analyst, business intelligence, or similar role.