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Hourly Python Data Science Jobs in Michigan (NOW HIRING)

Consumers Energy Company

Data Scientist

Jackson, MI

Proficiency in Python for data science and machine learning model development. * Handson experience using Databricks for largescale data science and experimentation. * Working knowledge of Spark for ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Required : • Master in Data Science / Computer Science • 5 years of relevant experience (i.e ... Spark, Databricks, Snowflake • Strong programming skills in Python and SQL • Knowledge of ...

Very Stable, U.S. based manufacturing company with customers in various industries.

Be Seen First

Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Troy, MI · On-site

$110K - $145K/yr

Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw ... Education: Bachelor's degree in Data Engineering, Computer Science, Mechanical/Manufacturing ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Skilled in SQL, Python, and R, you navigate platforms like Fivetran, Snowflake, and DBT with ease.

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

... data science, analytics, machine learning or AI * Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a ...

Hello Innovation

Director of Data Science

Detroit, MI · On-site

As our Director of Data Science you will set the foundation that powers impactful data-driven ... Skilled in SQL, Python, and R, you navigate platforms like Fivetran, Snowflake, and DBT with ease.

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

... data science, analytics, machine learning or AI * Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency in Python and SQL; experience with R or Java a ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations ... 1. Python and SQL programming for data extraction, analysis, or integration. 2. Using cloud ...

Corporate Services

Lead Data Scientist

Detroit, MI

... data science solutions. Lead Data Scientist architects, defines, and design the data science ... Python, R or SAS. Two plus (2+) years of experience involving quantitative data analyses for ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

Design and implement robust, scalable data science and Machine Learning Operations (MLOps ... Python, or Go * 2+ year experience with database systems (SQL, NoSQL), API design (REST/GraphQL ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our ... Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI

Using our customers' data and advanced data science, we are building products that allow our ... Programming & Modeling: Advanced knowledge of Python and a strong foundation in mathematics ...

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Hourly Python Data Science information

What is the difference between Hourly Python Data Science vs Data Analyst?

AspectHourly Python Data ScienceData Analyst
Required SkillsPython, statistical analysis, machine learningExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Common CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

Hourly Python Data Science roles focus on advanced analytics, machine learning, and programming with Python, often in tech-driven environments. Data Analysts typically handle data cleaning, visualization, and reporting using tools like Excel and SQL. While both roles require data handling skills, Python Data Science positions demand programming expertise and statistical knowledge, making them more technical and specialized.

What are Hourly Python Data Science jobs?

Hourly Python Data Science jobs are roles where professionals use Python programming to analyze, interpret, and visualize data, and are paid based on the number of hours they work. These positions often involve tasks such as data cleaning, statistical analysis, machine learning, and data visualization. Hourly data science jobs offer flexibility for both employers and workers, making them popular for freelance, contract, or part-time arrangements. Python's robust libraries and tools make it a preferred language for these roles.

What are some common challenges faced by hourly Python Data Science professionals, and how can they be addressed?

Hourly Python Data Science professionals often encounter challenges such as managing multiple clients with varying expectations, adapting quickly to different data environments, and handling inconsistent workloads. To address these, it's important to establish clear communication with clients about project scope and deadlines, maintain well-organized code and documentation for easy context switching, and utilize tools like version control and virtual environments. Building a strong personal workflow and prioritizing time management can help ensure high-quality deliverables across diverse projects.

What are the key skills and qualifications needed to thrive as an Hourly Python Data Science professional, and why are they important?

To thrive as an Hourly Python Data Science professional, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by a degree in a quantitative field or equivalent experience. Familiarity with tools like Pandas, NumPy, scikit-learn, and data visualization libraries, as well as experience with version control systems like Git, is typically required. Strong problem-solving abilities, effective communication, and adaptability help you deliver insights and solutions to clients efficiently. These skills ensure accurate analysis, clear reporting, and the ability to meet diverse project needs in a flexible, project-based environment.
What are the most commonly searched types of Python Data Science jobs in Michigan? The most popular types of Python Data Science jobs in Michigan are:
What are popular job titles related to Hourly Python Data Science jobs in Michigan? For Hourly Python Data Science jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Hourly Python Data Science jobs in Michigan look for? The top searched job categories for Hourly Python Data Science jobs in Michigan are:
What cities in Michigan are hiring for Hourly Python Data Science jobs? Cities in Michigan with the most Hourly Python Data Science job openings:
Hourly Python Data Science jobs near you
Data Scientist

Data Scientist

Consumers Energy Company

Jackson, MI

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Consumers Energy rating

8.2

Company rating: 8.2 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

24th of 50 rated energy and utility

Job description

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to 6.8 million of the state's 10 million residents in all 68 Lower Peninsula counties. Consumers Energy knows job number one is to keep the lights on for customers. We are committed to delivering reliable, clean, and affordable energy to our customers 24/7. 

This position is not eligible for immigration sponsorship, e.g., H-1B, TN, etc. Please do not apply if you will need immigration sponsorship for a work visa now or in the future, including sponsorship for H-1B, TN, etc., now or in the future. We are unable to hire individuals with CPT, OPT, or STEM OPT for this position as the position is not eligible for participation in the H-1B lottery program and is not eligible for current or future immigration sponsorship for a work visa.

Location: This position is onsite minimally 3 days a week at Jackson Service Centerlocatedin Jackson, MI. The selected candidate must be within a commutable distance or willing torelocate(relocation package is available for those that qualify).  

General Summary of Job Responsibilities

The Applications and Analytics team is at the heart of innovation, powering Michigan's future by craftingcutting-edgedigital solutions that transform how our customers and communities experience energy.Guided by our Digital First strategy, we harness modern technical practices and agile methodologies toensure dataand insights areaccessible, reliable, and actionable, enabling evidence-based decision-making, operational efficiency, and innovation across the organization.Join a dynamic team where collaboration, creativity, and impact converge! 

We partner closely with business teams to uncover digital opportunities, prioritize high-impact outcomes, and deliver trustworthy, user-friendly technology. By embracing our CE Way principles-engaging onsolutions, illuminating priorities, and minimizing waste-we build systems that are simple, helpful, and valuable. Ifyou'repassionate about innovation, community, and shaping a sustainable energy future, come grow with us at Consumers Energy! 

The Data Scientist will support the organization's data output processes and partner with the business to define requirements for analytical and strategic initiatives. This role requires a strong understanding of business needs and the ability to generate actionable insights using a variety of analytical methods. 

Essential Duties and Responsibilities
  • Prioritize business initiatives and structure projects for optimal success, considering budget, staffing, and regulatory requirements. 
  • Communicate data science outputs effectively and support the development of models and solutions that provide clear, actionable insights for business execution. 
  • Plan, organize, and manage resources and processes to achieve project or program objectives within established scope, timelines, quality standards, and budget constraints. 
  • Lead analytics initiatives from ideation through production and adoption, demonstrating a strong understanding of the analytics lifecycle and common pitfalls. 
  • Perform other duties as assigned or as necessary. 
Knowledge/Skills/Abilities
  • Strong quantitative analytics skills and structured problem solving abilities. 
  • Ability to evaluate strengths and weaknesses of alternative solutions, conclusions, or approaches. 
  • Basic knowledge of data modeling, machine learning algorithms, statistical analysis, data visualization, and data engineering. 
  • Broad understanding of project management principles and ability to identify project and business requirements. 
  • Excellent written and verbal communication skills. 
  • Ability to compile, organize, interpret, and clearly communicate data and analytical results. 
  • Strong process management skills. 
  • Ability to use logic and reasoning to evaluate alternative solutions, conclusions, or approaches. 
Education/Experience
  • Bachelor's degree in Information Technology, Data Analytics, or a related field, with two (2) or more years of experience in data science, data analysis, data modeling, and business needs assessment 
    • [OR] Associate's degree in Data Science, Information Technology, Data Analysis, or a related field, with four (4) or more years of relevant experience 
    • [OR] High School Diploma with six (6) or more years of experience in data science, data analysis, data modeling, and business needs assessment 
Preferred Experience

Candidates with one or more of the following skills will stand out: 

  • Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. 
  • Proficiency in Python for data science and machine learning model development. 
  • Handson experience using Databricks for largescale data science and experimentation. 
  • Working knowledge of Spark for distributed data processing and feature engineering. 
  • Experience applying statistical modeling, machine learning, or predictive analytics to business problems. 
  • Ability to collaborate with data engineers to design and prepare featureready datasets and pipelines. 
  • Understanding of model evaluation, validation, and interpretability techniques. 
  • Experience communicating analytical results to stakeholders and supporting insight adoption. 
  • Strong understanding of the analytics lifecycle from problem definition through production support. 

Why should you join our team?

At Consumers Energy, we offer more than just a place to work. We foster a culture that supports career development, growth, and stability, and we take pride in offering our co-workers excellent benefits and compensation packages. We are deliberately creating an inclusive culture that makes our diverse team of co-workers feel valued, supported, and empowered every day. We're a company made up of thousands of people, all with different stories to share and work to do, but we stand united in our company purpose: world class performance delivering hometown service.

What we offer:

  • Competitive compensation packages
  • Medical, Dental and Vision
  • 401k with company match
  • Paid parental leave
  • Up to 13 paid Holidays
  • Paid time off
  • Educational Assistance Program

Diversity, Equity & Inclusion: 

We, at CMS Energy, value Diversity, Equity, & Inclusion. It is part of our DNA. We treat our employees with respect, we treat each other fairly and we value the opinions of others. We are passionate about building and nurturing an environment where everyone feels included. We don't discriminate. We seek to learn about each other and better understand our unique differences. Our uniqueness makes us authentic. We create safe spaces where everyone can be who they truly are. We invite difficult conversations and uncomfortable topics. We value diverse perspectives; this is what makes us great together. We harbor an inclusive environment where employees feel empowered to share their backgrounds, experiences, and ideas. Our Employee Resource Groups, Women in Energy (WE), Minority Advisory Panel (MAP), Pride Alliance of Consumers Energy (PACE), GENERGY, capABLE, Interfaith and Veterans Advisory Panel (VAP) are key enablers to living the values of our company culture: Caring, Empowered, Deliberate, Agility, and Ownership.

All qualified applicants will not be discriminated against and will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, age, sexual orientation, gender identity or national origin.

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