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Weekend Data Science Jobs in Novi, MI (NOW HIRING)

General Motors

Staff Data Scientist

Warren, MI · On-site

Lead the data-science workstream from concept through production and continuous improvement, maintaining clear documentation and delivery accountability. Technical Leadership and Enablement * Serve ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Information Systems, or a related field. * 2+ years of hands-on Palantir Foundry development experience.

Conclusive Marketing

Lead Data Scientist

Detroit, MI · On-site

You'll be joining our RXA Data Science team, a group dedicated to leveraging advanced analytics, predictive modeling, and machine learning to drive smarter marketing and business decisions. As Lead ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics OR Computer Science or equivalent combination of ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Novi, MI

Weekend Data Science information

See Novi, MI salary details

$35.2K

$115.2K

$184.4K

How much do weekend data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data science in Novi, MI is $115,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Novi, MI?

The most popular types of Data Science jobs in Novi, MI are:

What are popular job titles related to Weekend Data Science jobs in Novi, MI?

For Weekend Data Science jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Novi, MI look for?

The top searched job categories for Weekend Data Science jobs in Novi, MI are:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,152 per year, or $55.4 per hour.

Data Science and Machine Learning Senior Associate

FastTek

Allen Park, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

Data Science and Machine Learning Senior Associate #1059030
Job Description:
  • Employees in this job function are responsible for predicting and extracting meaningful trends, patterns, and recommendations from raw data.
  • This is achieved by leveraging data science methodologies such as machine learning, predictive modeling, mathematics, statistics, and advanced analytics.
 
Key Responsibilities:
  • Understand business requirements and analyze datasets to determine appropriate analytical approaches that support data-driven decision-making.
  • Design and implement data analysis solutions, machine learning models, hypotheses, algorithms, and experiments.
  • Apply analytics techniques including data mining, predictive and prescriptive modeling, statistics, and machine learning to identify patterns, relationships, and trends.
  • Design efficient data loading, augmentation, and analysis techniques to improve accuracy and scalability of machine learning models, including automation-ready solutions.
  • Stay current with advancements in data science, machine learning, analytics tools, and methodologies, continuously identifying opportunities to improve efficiency and accuracy.
 
Project Scope / Deliverables:
  • Fully Functional Middleware API: Production-ready middleware layer that ingests, aggregates, and exposes 6 core operational data points.
  • Agentic AI Orchestrator: Deployed multi-agent system that monitors middleware data, flags anomalies, and generates structured recommendation JSON payloads.
  • Human-in-the-Loop (HITL) Dashboard Integration: APIs and webhooks feeding AI reasoning, recommendations, and confidence scores into the front-end application.
  • Co-Developed Codebase: Modular, tested Git repository co-authored with internal team.
  • Coaching Playbook: Training and knowledge transfer documentation for internal engineering and product teams.
 
Primary Skills Required:
  • J2EE
  • Logistics
  • Python
  • Machine Learning
 
Additional Skills Preferred:
  • AIPGEE
  • Advanced Data Migration
  • API Development
  • Data Management
 
Experience Required:
  • Specialist level
  • 5+ years of relevant experience
 
Preferred Experience:
  • Automotive industry
  • Supply Chain / Logistics
 
Education Required:
  • Bachelor's Degree
 
Preferred Education
  • Certification program in relevant field
 
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.