2

No Experience Entry Level Data Science Jobs in Michigan

... Science, Business Analytics, Health Informatics, or related field preferred, and three years of experience working extensively with data. Knowledge of health or dental insurance, or of dental ...

Data Scientist

Dearborn, MI · On-site

$85K - $192K/yr

... science or statistics 2 years' experience in application of Generative AI, Computer Vision ... No matter what you choose, we offer a work life that works for you, including: Immediate medical ...

Data Scientist

Detroit, MI · On-site

$85K - $192K/yr

... science or statistics 2 years' experience in application of Generative AI, Computer Vision ... No matter what you choose, we offer a work life that works for you, including: Immediate medical ...

New

Proficiency in at least one major programming language used in data science (e.g., Python, R). Skills Preferred: * Experience working with cloud computing platforms, particularly Google Cloud ...

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

... Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever ... Experience developing requirements for collection of and follow on use of data to inform the ...

Data Scientist

Dearborn, MI · On-site

$85K - $192K/yr

... science or statistics * 2 years' experience in application of Generative AI, Computer Vision ... No matter what you choose, we offer a work life that works for you, including: Immediate medical ...

Data Scientist

Sterling Heights, MI · Hybrid

$52 - $62/hr

... Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever ... Experience developing requirements for collection of and follow on use of data to inform the ...

Data Scientist

Sterling Heights, MI · On-site

$72 - $85/hr

... Data Science, Math, Statistics Rate: $52 to $62 per hour (W2 contract non-benefitted, No PTO - ever ... Experience developing requirements for collection of and follow on use of data to inform the ...

New

Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases * Experience with a cloud platform such as (AWS, GCP ...

Showing results 21-40

No Experience Entry Level Data Science information

What is a no experience entry level data science job?

No Experience Entry Level Data Science jobs are positions designed for individuals who are new to the field of data science and may not have any prior professional experience. These roles typically focus on candidates with foundational knowledge of data analysis, statistics, and basic programming skills, often gained through coursework, bootcamps, or self-study. Employers for these positions generally provide training and mentorship, allowing new hires to learn practical data science skills on the job. Such positions are a great way for beginners to gain hands-on experience and start building a career in data science.

What are the key skills and qualifications needed to thrive as a no experience entry level data scientist?

To thrive as a No Experience Entry Level Data Scientist, you need a solid understanding of statistics, basic programming (often Python or R), and foundational knowledge in data analysis, typically supported by a relevant degree or coursework. Familiarity with tools like Excel, Jupyter Notebook, and introductory machine learning libraries such as scikit-learn or pandas is commonly expected. Curiosity, problem-solving skills, and a willingness to learn quickly help candidates stand out in this fast-evolving field. These abilities are crucial for analyzing data effectively, drawing meaningful insights, and adapting to new technologies and challenges in data science roles.

What are common challenges faced by individuals starting in entry-level data science roles with no prior experience?

Individuals beginning in entry-level data science positions without prior experience often face challenges such as getting up to speed with real-world datasets, learning to use industry-standard tools (like Python, SQL, or Tableau), and understanding how to translate business problems into data-driven solutions. Adapting to collaborative work environments, where projects often require teamwork with analysts, engineers, and business stakeholders, can also be a learning curve. However, most organizations provide mentorship and training opportunities to help new hires develop these skills quickly and grow within the team.

What job categories do people searching No Experience Entry Level Data Science jobs in Michigan look for?

The top searched job categories for No Experience Entry Level Data Science jobs in Michigan are:

What cities in Michigan are hiring for No Experience Entry Level Data Science jobs?

Cities in Michigan with the most No Experience Entry Level Data Science job openings:

Infographic showing various No Experience Entry Level Data Science job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Data Science and Machine Learning Specialist

FastTek

Dearborn, MI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Understand business requirements and analyze datasets to determine suitable approaches for data-driven decision-making

  • Design and implement data analysis and machine learning models, hypotheses, algorithms, and experiments

  • Apply analytics techniques such as data mining, predictive modeling, prescriptive modeling, math, statistics, and machine learning to analyze data and uncover patterns


Job description

Data Science and Machine Learning Specialist #1060197
Position Description:
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
 
Key Responsibilities:
  • Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
  • Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
  • Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
  • Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
  • Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
 
Skills Required:
  • Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science
 
Experience Required:
  • Specialist Exp: 5+ experience in relevant field
 
Education Required:
  • Master's Degree
 
Education Preferred:
  • Doctorate
 
Additional Information:
  • Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform
  • Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV
  • Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls)
  • Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights
  • Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value
  • Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis
 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 
  • Medical and Dental (FastTek pays majority of the medical program)
  • Vision
  • Personal Time Off (PTO) Program
  • Long Term Disability (100% paid)
  • Life Insurance (100% paid)
  • 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match
 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.