ZipRecruiter

Log In

1

Weekend Data Science Jobs in New Jersey (NOW HIRING)

JP Morgan Chase

Data Science Sr Associate

Jersey City, NJ · On-site

$64K - $65K/yr

As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the ...

Fairygodboss

Data Science Sr Associate

Jersey City, NJ · On-site

$150 - $200/hr

As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the ...

Posted today

J.P. Morgan

Data Science Sr Associate

Jersey City, NJ

$61K - $62K/yr

As a Senior Data Scientist, you will collaborate with the Chase Auto Marketing team to assess marketing effectiveness, optimize audience targeting, and provide strategic insights that shape the ...

New

Dlapiper

Data Scientist

Short Hills, NJ · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in New Jersey

Weekend Data Science information

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 New Jersey?

The most popular types of Data Science jobs in New Jersey are:

What are popular job titles related to Weekend Data Science jobs in New Jersey?

For Weekend Data Science jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in New Jersey look for?

The top searched job categories for Weekend Data Science jobs in New Jersey are:

What cities in New Jersey are hiring for Weekend Data Science jobs?

Cities in New Jersey with the most Weekend Data Science job openings:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in New Jersey as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 90% In-person, and 10% Remote job distribution.

2026 Internship, Fall - Data Science

Red Bull

Morristown, NJ

Internship

Re-posted 16 days ago

Red Bull rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

17th of 52 rated marketing agency

Job description

Company Description

Red Bull New York ("RBNY") are one of 30 teams in Major League Soccer (MLS) and one of the league's ten original charter clubs. Founded in 1996, RBNY has competed in MLS since its inception. RBNY's First Team plays its home matches at Sports Illustrated Stadium in Harrison, New Jersey and its Second Team plays its home matches at Montclair State University. RBNY are owned by the Austrian beverage company Red Bull GmbH, after which the team is named.

RBNY's First Team is a three-time MLS Supporters' Shield winner and a two-time Conference Champion, while the Second Team is the 2025 MLS NEXT Pro Champion. RBNY also operates one of the nation's premier youth soccer development programs, spanning local partnerships across New York and New Jersey. RBNY's Academy is ranked among the top development organizations in the country.

Purpose of this Internship

During your time interning at the New York Red Bulls, you will learn how to apply your knowledge of data science, computer science, and mathematics to help multiple facets of a professional soccer team. You will assist multiple departments - including scouting, match analysis, and player development while aiding various processes including data cleaning, databasing, and software building.

This is an unpaid, for credit internship (proof that you will receive credit is required).

Job Description

Communication skills in an elite sporting environment

Ability to foster a data-driven culture

How to create new Key Performance Indicators across a multitude of different departments

How to create algorithms and processes in an elite sporting environment

Qualifications

Proficient in R / SQL

Proficient in Microsoft Office Suite

Experience with Web Scraping

Excellent Communicator

In a Mathematics, Data Science, or Computer Science Program

Additional Information

Because of the cyclical nature of the entertainment industry, your assigned hours may vary to reflect our needs (includes nights and weekends).

Red Bull New York is an equal opportunity employer and we will not discriminate against any employee or applicant for employment because of age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality or any other classification protected by law.

What Red Bull employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply