1

Weekend Data Science Jobs in Rhode Island (NOW HIRING)

Senior Data Visualization Analyst

Providence, RI ยท On-site +1

$93K - $140K/yr

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 ...

Course work in computer science or a related field is desirable. Use of microcomputers and a ... Knowledge of data sources such as medical records, administrative data, department/service specific ...

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 ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Data Analyst

Warwick, RI ยท On-site

$60K - $75K/yr

Data Analyst Healthcare Data Analytics Experience Preferred Location: Warwick, RI Experience: 1+ years healthcare data analytics experience Education: A minimum of a bachelor's degree in epidemiology ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

They will lead the effort to update a client's data during these ongoing projects and afterwards as needed. The candidate must be proficient in data analysis, systems analysis or implementation ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Analyzing the client source data to identify issues, potential causes, and suggested remediation * Navigating the organization, bringing together interested parties, negotiating differences, and ...

Data Engineer

Smithfield, RI ยท On-site

$110K - $132K/yr

HCL Global Systems Inc is looking for a Data Engineer to join their team. The role involves designing, building, and supporting enterprise-scale data engineering solutions, with a focus on developing ...

Data Engineer

Smithfield, RI ยท On-site

$65 - $70/hr

Description: Onsite in Smithfield, RI Our client seeks a Data Engineer to design, build, and ... life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain ...

Data Engineer

Cranston, RI ยท On-site

$112K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

next page

Showing results 1-20

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:
Business Data Delivery Lead - Data Architecture, Modeling & Enablement

Business Data Delivery Lead - Data Architecture, Modeling & Enablement

Citizens

Johnston, RI โ€ข Hybrid

$157K - $209K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Description

4 Days in the office from any of our locations in Johnston RI and Westwood MA, only

Role is not relocation eligible.ย 

The Data Lead will own the end-to-end delivery of data architecture, data modeling, and data enablement for priority business domains. This role is responsible for shaping and executing data solutions that enable analytics, AI/ML, and operational use cases while ensuring data is well-governed, scalable, and aligned to enterprise standards.

This individual combines deep technical expertise in data architecture, modeling, and ETL with strong delivery leadership, acting as the primary liaison between business stakeholders, data engineering, and enterprise data teams within a regulated financial services environment.


Key Responsibilities

Data Architecture & Modeling

  • Own and deliver conceptual, logical, and physical data models, including canonical and semantic models, aligned to business capabilities and enterprise data strategy.
  • Define and govern domain-driven data contracts and modeling standards to enable cross-domain interoperability and reuse.
  • Help design and apply data architecture patterns supporting batch and real-time data integration, including event-driven and streaming use cases (e.g., Kafka).
  • Ensure scalable, maintainable, and well-documented data designs across analytics and operational platforms.

Data Enablement & ETL Delivery

  • Lead the design, development, and delivery of data enablement solutions, including ETL/ELT pipelines from source ingestion through modeled, consumption-ready datasets.
  • Oversee pipeline design, estimates, dependencies, and delivery execution across cloud platforms such as AWS (S3, Glue, EMR, Lambda, Redshift) and Snowflake.
  • Enable high-quality data products that support reporting, analytics, AI/ML, and regulatory use cases.

Strategy, Leadership & Stakeholder Engagement

  • Define and own the data enablement roadmap for assigned business domains, aligned with enterprise data strategy and business priorities.
  • Act as a data thought leader, partnering with senior business and technology stakeholders to identify and deliver high-value use cases.
  • Translate business needs into actionable data architecture and modeling solutions; influence stakeholders on best practices and trade-offs.
  • Lead cross-functional delivery teams (architects, engineers, analysts) using agile or product-based delivery models.

Data Governance, Quality & Compliance

  • Ensure data assets are well-governed, trusted, and compliant with regulatory and internal risk requirements.
  • Own data domain definitions, quality standards, metadata, and lineage in partnership with governance teams.
  • Embed data quality monitoring, issue remediation, and continuous improvement into delivery processes.

Required Skills & Experience

Essential

  • Strong experience in data architecture, data modeling (conceptual/logical/physical), and ETL/ELT design.
  • Hands-on knowledge of canonical data models, semantic modeling, and data enablement patterns.
  • Solid understanding of distributed data systems, real-time and batch integration concepts.
  • Experience delivering end-to-end data solutions in cloud-based data platforms (Snowflake, AWS, Redshift or similar).
  • Deep understanding of data governance, data quality, metadata, lineage, and regulatory considerations.
  • Strong stakeholder management and communication skills, with the ability to bridge business and technical teams.
  • Experience leading or owning delivery across multiple initiatives.

Preferred / Desirable

  • Experience with Kafka or event-driven architectures.
  • Exposure to AI/ML, advanced analytics, or real-time data use cases.
  • Background in financial services or other highly regulated industries.
  • Experience with big data technologies (e.g., Spark, Delta).
  • Bachelor's degree in Computer Science, Data, Information Systems, or related field (Master's preferred).

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on-site, 1 day remote

Pay Transparencyย 

The salary range for this position is $157,000 - $209,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST