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Entry Level Python Data Science Jobs in Ann Arbor, MI

GHD Group

Graduate Developer

Farmington Hills, MI · On-site

Join our team of over 600 data scientists, design thinkers, immersive digital consultants, project ... A strong foundation in programming languages, including Javascript and Python. * Basic ...

Stefanini Group

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

Stefanini Group

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

GHD

Graduate Developer

Farmington Hills, MI · Hybrid

Join our team of over 600 data scientists, design thinkers, immersive digital consultants, project ... A strong foundation in programming languages, including Javascript and Python. * Basic ...

Stefanini Group

Sr Software Engineer

Southfield, MI

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

Deloitte

Cyber - SecOps - Consultant

Detroit, MI

... Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows * 2+ years of experience using ...

Stefanini Group

Sr Software Engineer

Southfield, MI · On-site

$112K - $148K/yr

... Data Science or a foreign equivalent, and at least two (2) years of experience as a Software Engineer or similar position utilizing all of the following: SQL; Python; Google Cloud Platform (GCP); ETL ...

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

Bachelor's degree in Computer Science, Software Engineering, Data Science, a related field, or ... Python, Java, C#, or TypeScript/JavaScript. Experience developing REST APIs and distributed ...

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Entry Level Python Data Science information

See Ann Arbor, MI salary details

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

As of Aug 11, 2026, the average hourly pay for entry level python data science in Ann Arbor, MI is $57.35, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $65.14 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?

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 popular job titles related to Entry Level Python Data Science jobs in Ann Arbor, MI? For Entry Level Python Data Science jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Ann Arbor, MI look for? The top searched job categories for Entry Level Python Data Science jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Entry Level Python Data Science jobs? Cities near Ann Arbor, MI with the most Entry Level Python Data Science job openings:
Entry Level Python Data Science jobs near you

12th Grade High School Math Teacher

Wayne County Schools Employment Network

Wayne, MI • On-site

Full-time

Posted 8 days ago

Job description

Full-Time 12th Grade High School Math Teacher

Personal Finance for Semester 1

Data Science & Graphic Literacy Second Semester

Personal Finance 

Prepare students for real-world financial success. This educator will implement our core personal financial literacy course, empowering students to make informed economic decisions. The course focuses on practical life skills, ensuring students master critical concepts like budgeting, debt management, and investing before graduation 

Key Responsibilities

  • Teach practical financial concepts including saving, banking, credit scores, debt, insurance, and taxes.
  • Integrate technology, financial simulation tools, and spreadsheet software into weekly lessons.
  • Translate complex economic theories into simple, age-appropriate, and actionable life skills.
  • Design project-based assessments, such as creating personal budgets or mock stock portfolios.
  • Align all instructional materials with state educational standards and graduation requirements.

Data science & Graphic Literacy

Introduces students to the critical cross-disciplinary skills of data fluency, statistical reasoning, and visual communication. The role bridges the gap between STEM and humanities, preparing students for college and 21st-century careers by teaching them how to consume, analyze, and create data-driven narratives.

Key Responsibilities

  • Curriculum Delivery: Teach students to read, analyze, and critique graphs, infographics, charts, and maps found in media and textbooks.
  • Hands-on Data Projects: Guide students through the full data lifecycle: collecting data, cleaning messy datasets, and identifying key trends.
  • Ethical Literacy: Train students to spot misleading data, biased axes, and manipulative visualizations in digital media.
  • Technical Training: Instruct students in beginner-friendly tools like Google Sheets, Canva, and introductory Python, R, or Tableau.
  • Classroom Management: Maintain an engaging, project-based high school classroom environment that supports diverse learning styles. 
  • College & Career Prep: Connect classroom concepts to growing career paths like data engineering, digital journalism, and graphic design.

Qualifications & Requirements

  • Education: Bachelor's degree in Mathematics, Data Science, Computer Science, Graphic Design, or a related field.
  • Certification: Valid State Teaching Certificate for Secondary Education (typically under Mathematics, Business and/or related area.).
  • High School Pedagogy: Proven ability to engage teenagers, manage classroom behavior, and break down complex concepts into bite-sized lessons.
  • Core Software Skills: Proficiency with spreadsheet software, basic data visualization platforms, and simple graphic design tools. [1]

Key Metrics for Success

  • Project Completion: High student success rates on final capstone projects, such as creating comprehensive, research-based infographics.
  • Critical Thinking Growth: Measurable improvement in student test scores regarding graph analysis and statistical bias detection.
  • Cross-Curricular Growth: Successful collaboration with history, science, or English departments on data-driven research papers.


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