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

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 4 years of relevant work experience. * Relevant work experience includes ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 4 years of relevant work experience. * Relevant work experience includes ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 4 years of relevant work experience. * Relevant work experience includes ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 4 years of relevant work experience. * Relevant work experience includes ...

Senior Data Analyst

Akron, OH · On-site

$111K - $157K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or related field with minimum 10 years of relevant work experience. * Relevant work experience includes ...

Showing results 41-60

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 Aug 20, 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:

What cities near Cleveland, OH are hiring for Weekend Data Science jobs?

Cities near Cleveland, OH with the most Weekend Data Science job openings:

Infographic showing various Weekend Data Science job openings in Cleveland, OH as of August 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 Scientist Sr. Manager - Consumer Markets

Pwc

Cleveland, OH • On-site

$91K - $321K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Clients & Markets

Management Level

Senior Manager

Job Description & Summary

The Opportunity
As a Data Scientist Senior Manager - Consumer Markets, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Internal Firm Services practice, you will focus on developing and implementing innovative solutions to optimize business performance and enhance competitive advantage. As a Senior Manager, you will apply your skills and influence to deliver quality results, motivating and coaching teams to solve complex problems. You will exercise sound judgment, recognizing when to take action and when to escalate, while fostering diverse and inclusive teams that contribute to the success of our firm.
In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. You will validate outcomes with clients, share alternative perspectives, and act on feedback, demonstrating composure through ambiguous and challenging situations. Your commitment to excellence and ability to initiate open and honest coaching conversations at all levels will be key to resolving issues hindering team effectiveness and modeling professional standards.
Responsibilities
- Leading strategic initiatives to leverage data and analytics for informed decision-making
- Developing innovative solutions to optimize business performance and enhance competitive advantage
- Utilizing advanced analytics techniques to drive insights and support clients in achieving their strategic goals
- Building and maintaining relationships with stakeholders to identify and address data challenges
- Implementing business intelligence tools and cloud-based analytics platforms to enhance insights generation
- Directing teams through complex data analysis and interpretation to solve challenging problems
- Crafting and conveying clear, impactful messages that tell a holistic story
- Applying systems thinking to identify underlying problems and opportunities
- Validating outcomes with clients and acting on feedback to improve processes
- Promoting continuous process improvement and embracing change within teams
- Coaching and motivating teams to develop high-performing, diverse, and inclusive environments
- Initiating open and honest coaching conversations at all levels to foster growth and development
What You Must Have
- At least a High School Diploma or the equivalent degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Leveraging advanced skills in data visualization tools like QlikView and Spotfire
- Demonstrating proficiency in business intelligence development and reporting tools
- Applying analytical thinking to drive continuous process improvement
- Utilizing data architecture development to enhance data quality and pipeline efficiency
- Excelling in stakeholder engagement and strategic questioning for impactful decision-making
- Innovating through rapid experimentation and embracing change in dynamic environments

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $91,000 - $321,500. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

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