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Weekend Data Science Jobs in Rhode Island (NOW HIRING)

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Master's degree in Statistics, Health, or Social Sciences, preferred. * Experience in Stata ...

Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Computer Science ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Computer Science ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

Required : • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. • 3+ years of experience in data engineering, data architecture, or related ...

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Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Computer Science ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

Environmental Field Scientist

Providence, RI · On-site

$75K - $99K/yr

... data. * Prepare technical reports and conduct ASTM Phase I and Phase II environmental site ... BA/BS in Environmental Science or a related field. * Valid driver's license, acceptable driving ...

Microsoft Fabric Data Engineer

Pawtucket, RI · On-site

$111K - $133K/yr

Design bidirectional data flows between Fabric and manufacturing systems (Infor M3, Salesforce ... Bachelor's degree in Engineering, Computer Science, or related technical field * Manufacturing ...

The Sr Data Visualization Developer leads initiatives to design, develop, andmaintainintuitive ... Bachelor's degree in DataAnalytics, Information Systems, Computer Science, or a related field, or ...

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position requires strong data and analytics experience, with utilization of data for statistical and policy ...

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Weekend Data Science information

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

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 is a Weekend Data Science job?

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 are some typical challenges faced by data scientists working specifically on weekends, 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.

What are the most commonly searched types of Data Science jobs in Rhode Island? The most popular types of Data Science jobs in Rhode Island are:
What are popular job titles related to Weekend Data Science jobs in Rhode Island? For Weekend Data Science jobs in Rhode Island, the most frequently searched job titles are:
Lead Data Analyst

Lead Data Analyst

Brown University

Providence, RI • On-site

Part-time

Posted 23 days ago


Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

192nd of 535 rated colleges and universities


Job description

Job Description:
The Population Studies and Training Center (PSTC) at Brown University is seeking a Lead Data Analyst to work with Professor Elizabeth Fussell (PSTC (Research)) on several projects involving the analysis of data on the health and mobility outcomes of disaster-affected populations. The Lead Data Analyst will participate in data management, statistical analysis, assist with grant proposals, manuscript production for publication in peer-reviewed journals, and presentations at scientific conferences. Publications stemming from the designated research projects may be co-authored with Prof. Fussell and other co-investigators.
This 18 hour a week position is 100% grant funded and is renewable annually up until March 31st, 2028 based on satisfactory work performance and depending on funding source.
Education and Experience
  • Bachelor's degree in a related field and 5 to 7 years experience or equivalent combination of education and experience. Master's degree in Statistics, Health, or Social Sciences, preferred.
  • Experience in Stata required, SAS or R preferred.
  • Ability to work well both independently and collaboratively.
  • Effective at communicating with interdisciplinary audiences whose technical backgrounds vary widely.
  • Efficient time management skills.
  • Proven ability to work effectively on multiple projects at the same time.
  • Knowledge and experience in design and construction of databases with SAS.
  • Experience analyzing and managing large complex data sets
  • Highly proficient in statistical software packages (e.g., Stata and SAS or R)

All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.
Note: Applicants must submit a cover letter and CV/resume.
Additional physical demands and working conditions:
The Position Work Location is Hybrid Eligible with a 2 days/week onsite requirement at the Federal Statistical Research Data Centers (FSRDC) with a preference for Boston RDC, other FSRDC locations could be considered.
Benefits of Working at Brown:
Please review additional information on the Benefits of Working at Brown.
Recruiting Start Date:
2026-05-12
Job Posting Title:
Lead Data Analyst
Department:
Population Studies and Training Center
Grade:
Grade 10
Worker Type:
Employee
Worker Sub-Type:
Fixed Term (Fixed Term)
Time Type:
Part time
Scheduled Weekly Hours:
18
Position Work Location:
Hybrid
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
This position is not eligible for visa sponsorship.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
Brown is an E-Verify Employer.
EEO Statement:
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

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