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Entry Level Python Data Science Jobs in Grand Rapids, MI

Imaging Systems Engineer

Zeeland, MI · On-site

$95K - $105K/yr

Collect, analyze, and interpret image data using both quantitative metrics and visual assessments ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related technical ...

Contribute to the process of data collection, analysis, and evaluation of results, combining both ... Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related field. * 2+ ...

JOB TITLE: .NET Developer LEVEL: Entry Level to 2+ years experience PAY: up to $55,000 per year ... BA or BS Degree in Computer Science, Software Engineering, Information Technology or related field.

... entry-level position with a hybrid work schedule (four days onsite, one day remote) and a one-year ... Experience with Linux, Terraform, and scripting (Bash or Python). * Ability to support highly ...

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Entry Level Python Data Science information

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

As of Jul 21, 2026, the average hourly pay for entry level python data science in Grand Rapids, MI is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Grand Rapids, MI? The most popular types of Python Data Science jobs in Grand Rapids, MI are:
What are popular job titles related to Entry Level Python Data Science jobs in Grand Rapids, MI? For Entry Level Python Data Science jobs in Grand Rapids, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Grand Rapids, MI look for? The top searched job categories for Entry Level Python Data Science jobs in Grand Rapids, MI are:
What cities near Grand Rapids, MI are hiring for Entry Level Python Data Science jobs? Cities near Grand Rapids, MI with the most Entry Level Python Data Science job openings:
Infographic showing various Entry Level Python Data Science job openings in Grand Rapids, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.
Imaging Systems Engineer

Full-time

Posted 2 days ago


Job description

TITLE: Imaging Systems Engineer

LOCATION: West Michigan Area

SUMMARY: Management Business Solutions is seeking a Imaging Systems Engineer for its client in West Michigan Area. This individual will contribute to the development and improvement of vision products by creating and executing tests and data collection to define changes that enhance image quality across various product lines. The Imaging Systems Engineer will develop a deep understanding of image signal processing pipelines, fine-tune those pipelines for optimal results, and collaborate across engineering and stakeholder teams to meet the unique image quality needs of diverse product use cases.

RESPONSIBILITIES:

  • Build hands-on expertise across multiple ISP pipeline architectures and the toolsets that support them.
  • Adjust and optimize ISP pipeline parameters to deliver high-quality imaging output across product lines.
  • Work closely with Software Engineering teams to define, review, and integrate pipeline modifications.
  • Engage with internal stakeholders to understand and address image quality requirements unique to each product use case.
  • Gather and analyze image data, blending quantitative metrics with perceptual assessments to inform quality improvement decisions.
  • Serve as a point of contact with ISP vendors when image quality issues require external escalation.
  • Design and run both scripted and hands-on test procedures to validate imaging performance.
  • Assist in resolving image quality concerns raised through customer programs and field feedback.
  • Other duties as assigned.

QUALIFICATIONS:

  • Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, or a related discipline.
  • Minimum of 2 years of hands-on experience in image quality evaluation or analysis.
  • Strong proficiency in scripting and data analysis using Python and/or MATLAB.
  • Background in photography or videography, with working knowledge of camera systems and controls.
  • Familiarity with source code management platforms such as GitHub or similar tools.
  • Experience with image processing pipelines.
  • Ability to diagnose and resolve issues across both hardware and software components.
  • Strong analytical mindset with a track record of creative, effective problem-solving.
  • Comfortable working within the Microsoft Office Suite.
  • Background in Automotive, Aerospace, Fire Protection, or a similar industry is a plus.
  • Familiarity with signal processing concepts and working with time-series datasets is a plus.
  • Exposure to Linux environments, software development lifecycle practices, and agile workflows is a plus.
  • Experience with embedded systems, including hardware and software integration, is a plus.

MANAGEMENT BUSINESS SOLUTIONS IS AN EQUAL-OPPORTUNITY EMPLOYER