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Weekend Data Science Jobs in Cleveland, OH (NOW HIRING)

Quadax

Data Science Analyst

Middleburg Heights, OH · On-site

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the ...

Munich Re

Data Scientist

Cleveland, OH · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Goosehead

Data Scientist

Westlake, OH

Define and drive the vision for data science at Goosehead, identifying transformative opportunities across the enterprise. * Design, develop, and deploy production-grade machine learning systems that ...

Radiance Technologies, Inc.

Data Scientist

Bath, OH · On-site

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

Qnity

Senior Data Scientist

Cleveland, OH · Hybrid

A strong candidate will have expertise in data science techniques such as data cleaning, statistical modeling, machine learning, deep learning, computer vision, generative AI, and large language ...

Flexjet LLC

Senior Data Scientist

Cleveland, OH · On-site

Bachelor\'s or master\'s degree in computer science, Information Technology, Data Science, or a related field, or an equivalent combination of education, training, and relevant professional ...

AmTrust Financial Services Inc.

Data Scientist

Cleveland, OH · On-site

$100K - $155K/yr

... Data Science & AI Team with specific commercial insurance experience. AmTrust Financial Services Inc. is a multinational property and casualty insurer specializing in coverage for small to mid-sized ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... Science, or a related field, or an equivalent combination of education, training, and relevant professional experience. 5+ years of experience in Data Science, Machine Learning, and AI software ...

Flexjet

Senior Data Scientist

Cleveland, OH

... Science, or a related field, or an equivalent combination of education, training, and relevant professional experience. 5+ years of experience in Data Science, Machine Learning, and AI software ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

... Data Science, or a related field, or an equivalent combination of education, training, and relevant professional experience. · 5+ years of experience in Data Science, Machine Learning, and AI ...

Flexjet

Senior Data Scientist

Cleveland, OH · On-site

Required : • Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field, or an equivalent combination of education, training, and relevant ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Cleveland, OH

Weekend Data Science information

See Cleveland, OH salary details

$36.4K

$119K

$190.6K

How much do weekend data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for weekend data science in Cleveland, OH is $119,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $131,900.00 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 Cleveland, OH?

The most popular types of Data Science jobs in Cleveland, OH are:

What are popular job titles related to Weekend Data Science jobs in Cleveland, OH?

For Weekend Data Science jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Cleveland, OH look for?

The top searched job categories for Weekend Data Science jobs in Cleveland, OH are:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Cleveland, OH as of September 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $119,035 per year, or $57.2 per hour.

Data Science Analyst

Middleburg Heights, OH • On-site, Remote

Quadax, Inc.
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about Quadax, Inc.external

Full-time

Posted 14 days ago

Key responsibilities

  • Analyze complex data sets and create actionable insights.

  • Prepare and analyze data through locating, profiling, cleansing, extracting, transforming, validating, or modeling.

  • Design and develop AI/ML solutions using Azure AI services, including building and deploying machine learning models.

Quadax rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

 

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Design and develop AI/ML solutions using Azure AI services.
  • Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
  • Support the creation and maintenance of project documentation
  • Develop, train, and deploy machine learning models for production workloads.

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working as an IT Data Analyst or in Data Science
  • Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

What Quadax employees say

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