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Weekend Data Science Jobs in Rhode Island (NOW HIRING)

Eliassen Group

Data Engineer

Smithfield, RI · 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 ...

Eliassen Group

Data Engineer

Smithfield, RI

$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 ...

Brownhealth

$29.53 - $48.72/hr

Bachelor's degree in Laboratory Science (e.g., Clinical Laboratory Science, Medical Technology ... Strong analytical skills to interpret laboratory data. * Physical and visual dexterity required for ...

Bally's Corporation

Lead Data Analyst

Providence, RI · On-site +1

$100K - $140K/yr

Turn data into clear insights and recommendations that shape product strategy and business decisions * Deliver recurring executive reporting that highlights key trends, opportunities, and risks

Fidelity Investments

Senior Data Analyst

Smithfield, RI · On-site +1

$80K - $153K/yr

Senior Data Analyst The Role We have an outstanding technology opportunity in the Core & Common Data Products and Solutions Technology Team (formerly UCP) that is building a 360-degree view of the ...

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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:
What job categories do people searching Weekend Data Science jobs in Rhode Island look for? The top searched job categories for Weekend Data Science jobs in Rhode Island are:
Weekend Data Science jobs near you
Data Processor

Data Processor

Element Materials Technology

Cranston, RI • On-site

Full-time

Posted 19 days ago

Element Materials Technology rating

7.5

Company rating: 7.5 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

55th of 103 rated laboratories

Job description

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 primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

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