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Remote Data Processing Jobs in Michigan (NOW HIRING)

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no ...

Troutman Pepper

Senior Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Design, develop, and maintain ETL processes and data structures following best practices. * Work ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Gordon Food Service

Associate Data Engineer

Wyoming, MI · On-site +1

Hybrid schedule, 4 days in office in Wyoming, MI or Atlanta, GA with 1 day remote What you'll bring ... Experience working with devops processes to deliver code quickly with a high degree of confidence ...

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All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in Michigan

Remote Data Processing information

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$10

$17

$30

How much do remote data processing jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote data processing in Michigan is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.47 per hour, depending on experience, location, and employer.

How can I make 2000 a week working from home?

Remote data processing jobs can offer high earning potential, especially for experienced professionals who handle large datasets, use specialized tools, and meet project deadlines. To earn $2000 weekly, you may need to work multiple projects, develop strong skills in data analysis and processing, and possibly obtain relevant certifications. Consistent high-quality work and efficient time management are essential for reaching this income level remotely.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home or other remote locations. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with data management tools like spreadsheets or databases.

How to make $1000 a week remotely?

Remote data processing jobs can pay $1000 or more per week depending on experience, workload, and project complexity. To achieve this, professionals often work multiple projects, develop specialized skills in data analysis or automation, and utilize platforms that connect freelancers with clients. Consistent high-quality work and efficient time management are essential for reaching this income level.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What jobs pay 4000 a week without a degree?

Remote data processing roles can pay around $4,000 per week for experienced professionals, especially those with strong skills in data analysis, programming, or automation. These jobs often require proficiency in tools like Python, SQL, or cloud platforms and may involve freelance or contract work with flexible schedules. High earnings typically depend on expertise, project complexity, and workload volume.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in Michigan? The most popular types of Data Processing jobs in Michigan are:
What are popular job titles related to Remote Data Processing jobs in Michigan? For Remote Data Processing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in Michigan look for? The top searched job categories for Remote Data Processing jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Processing jobs? Cities in Michigan with the most Remote Data Processing job openings:
Remote Data Processing jobs near you

Principal Data Scientist (Remote)

Accident Fund Holdings, Inc.

Lansing, MI • On-site, Remote

Full-time

Posted 23 days ago

Job description


SUMMARY
AF Group is seeking a Principal Data Scientist with expertise in either Commercial Property or Personal Homeowners insurance to serve as an individual contributor and technical authority on applying advanced analytics and machine learning to complex business problems, including pricing, risk selection, and other underwriting challenges. This role owns the end-to-end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production-ready solutions. The Principal Data Scientist ensures long-term model performance through rigorous validation, drift monitoring, and audit-ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.
RESPONSIBILITIES/TASKS:
  • Acquires, organizes, and cleanses structured and unstructured data.
  • Conducts in-depth analysis to uncover trends, risks, and business opportunities.
  • Applies statistical modeling, machine learning, and advanced analytics to develop predictive and prescriptive solutions.
  • Evaluate solution performance using statistically rigorous methods and measure the impact to business outcomes.
  • Collaborate with MLOps and IT partners to transition solution prototypes from pilot validation into production environments.
  • Ensures ongoing model health through post-deployment monitoring, drift detection, and audit-compliant governance practices.
  • Creates and communicates results to senior level audiences of varying backgrounds, using business-facing presentations, reports, and dashboards.
  • Author and maintain comprehensive technical documentation for data lineage, codebases, results, and production changes.
  • Provides technical and project guidance, including peer review of work, for data science team.
  • Leads the evaluation of new analytic tools and processes.
  • Drives investigation and adoption of advanced machine learning and AI innovations.

EDUCATION:
Bachelor's Degree in Data Science, Statistics, Mathematics, Operations Research, Actuarial Science, Computer Science, Engineering, Physics or related technical field required. Advanced degree preferred.
EXPERIENCE:
10 years of experience in data science or related advanced analytics domains, including research and teaching, with 3+ years of technical leadership.
REQUIRED SKILLS/KNOWLEDGE/ABILITIES
  • 3+ years of experience supporting underwriting functions, including loss modeling, for Commercial Property (preferred) or Personal Homeowners insurance.
  • Demonstrated expertise using Poisson, Gamma, and Tweedie distributions to build loss ratio, pure premium, and frequency-severity loss models for pricing.
  • Extensive experience leveraging supervised learning models (e.g., XGBoost, GLM, etc.) and unsupervised techniques (e.g., K-means, PCA, etc.) to solve complex data science problems.
  • Advanced Python programming skills supporting data science, including scikit-learn and pandas.
  • Proficient data wrangling and ETL abilities using SQL on relational databases.
  • Comfortable explaining machine learning models with partial dependence plots and SHAP values.
  • Ability to conduct experiments e.g., A/B Testing, to evaluate the causal impact of model-driven decisions.
  • Experience using version control tools such as Git and Azure DevOps.
  • Experience working in cloud computing environments such as Azure, AWS, GCP, etc.

PREFERRED SKILLS/KNOWLEDGE/ABILITIES
  • Experience supporting at least one other commercial or personal line outside of Property lines.
  • In-depth understanding of General Liability (aka Casualty), Workers Compensation, or Commercial Vehicle insurance.
  • Knowledge of actuarial concepts and terminology used in pricing and ratemaking.
  • Experience with Claims, Marketing, or Operations functions within P&C insurance settings.
  • Ability to develop Agentic AI solutions to drive autonomous decision-making and task orchestration.
  • Familiarity with causal modeling techniques such as Meta-learners, Causal Forest, Double ML, etc.
  • Knowledge of advanced neural net architectures like LSTM, CNN, Transformers, Graph NN, etc.
  • Understanding of NLP concepts such as topic modeling, Word2Vec, sentiment analysis, OCR, etc.
  • Experience programming in the R language.
  • Ability to build interactive dashboards using frameworks such as Plotly Dash, Power BI, Flask, etc.

ADDITIONAL INFORMATION:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.
PAY RANGE:
"Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000."
We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.
#LI-CH1
#AFG

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