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Weekend Remote Data Scientist Jobs in Michigan (NOW HIRING)

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... scientists to build and maintain analytic solutions utilizing both traditional on-premises and ...

Must have a PhD in Engineering, Computer Science, Data Science, Physical Sciences, Business ... Remote work on Fridays may be permitted based on project priorities and business requirements ...

Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Senior Data Engineer

Southfield, MI ยท Remote

$97K - $132K/yr

This position provides the opportunity to work remote. Job Duties * Builds and maintains Azure data ... Bachelor's Degree in Computer or Data Science, Data Analytics, Statistics, or Information ...

Principal Data Engineer

Ann Arbor, MI ยท On-site +1

$170K - $210K/yr

Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity * Run a lightweight but effective ...

Nurse Practitioner: Remote Urgent Care

Detroit, MI ยท Remote

$109K - $151K/yr

Belle uses cutting edge data science to identify those most in need on behalf of health plans and ... As these issues arise, a team of remote nurses coordinate care with other healthcare providers ...

Principal Data Engineer

Plymouth, MI ยท Remote

$109K - $130K/yr

Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Tableau, Tableau Server, SSIS, SQL Server, PostgreSQL, Python, SSRS, Azure, Cloud, Git, CI/CD, Terraform ...

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Showing results 21-40

Weekend Remote Data Scientist information

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

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

What are Weekend Remote Data Scientists?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What are the key skills and qualifications needed to thrive as a Weekend Remote Data Scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.
What cities in Michigan are hiring for Weekend Remote Data Scientist jobs? Cities in Michigan with the most Weekend Remote Data Scientist job openings:
Infographic showing various Weekend Remote Data Scientist job openings in Michigan as of June 2026, with employment types broken down into 2% As Needed, 89% Full Time, 2% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Epic Data Engineer

Epic Data Engineer

Stefanini Group

Grand Rapids, MI โ€ข Remote

Contractor

Posted 29 days ago


Job description

Stefanini Group is hiring!
Stefanini is looking forย Epic Data Engineer-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510
Sudhanshu.shrivastava@stefanini.com
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W2 Candidates Only!
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Job Summary:
Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs.
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Essential Functions:
  • Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision.
  • Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.
  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.
  • Participates in the design, development, and implementation of conceptual, logical, and physical data models.
  • Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets. ย Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints.
  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. ย Works independently or collaboratively to capture, document, and groom features and stories for planning and execution.
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#LI-SS3
#LI-REMOTE

Must have epic certifications:
  • Cogito
  • Clarity Data
  • Caboodle Data Model
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Must Have
  • Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required
  • Effective and self-sufficient in working within a diverse technology portfolio
  • Excellent analytical skills to troubleshoot and resolve systems problems
  • Must have: Cogito, Clarity Data model, Caboodle Data Model
  • Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing
  • Strong written and oral communication skills with ability to interpret technical requirements
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Nice To Have
  • Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data
  • Experience in Facets
  • Snowflake Experience
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Qualifications:
  • Bachelor's Degree or equivalent Preferred Master's Degree
  • 5 years of relevant experience Required
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Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
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About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR