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Weekend Data Science Jobs in New Jersey (NOW HIRING)

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Reporting into the ED, AI and Innovation Data Science, this role is crucial in leading the development and deployment of advanced AI solutions that enhance operational efficiency and drive strategic ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain, Cambridge, Massachusetts, United States of America, Hyderabad, Andhra Pradesh, India, Madrid, Spain ...

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

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Weekend Data Science information

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends if their projects or deadlines require it, but many roles follow a standard weekday schedule. Flexibility depends on the employer, project needs, and whether the position involves on-call or urgent tasks. Typically, data science roles are performed during regular business hours, but some positions may require weekend work for data collection, analysis, or reporting.

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 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 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.

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 cities in New Jersey are hiring for Weekend Data Science jobs? Cities in New Jersey with the most Weekend Data Science job openings:
Infographic showing various Weekend Data Science job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 22 days ago


Job description

Company Description
Jobs for Humanity is collaborating with Upwardly Global and with Rutgers Ag to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: Rutgers Ag
Job Description

Posting Title: Professor - Data Science - Tenured
Department: Proteomics
Salary: Open
Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished data scientist, focused on three-dimensional (3D) structures of biological macromolecules, to be appointed at the level of tenured Professor or above. This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative. We are seeking an expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences.
The RCSB PDB, headquartered at Rutgers, is the United States data center of the Worldwide Protein Data Bank partnership (wwPDB.org). Now in its 52nd year of continuous operations, the PDB has been funded by US government agencies since 1971. Today, it is jointly supported by the National Science Foundation, the National Institutes of Health, and the US Department of Energy, to serve many millions of PDB data consumers worldwide with its one-stop-shop for open access to the world's public domain 3D biostructure information. PDB data are also repackaged and freely reused by nearly 500 trusted external data resources and biopharmaceutical companies, both large and small, at no charge and with no limitations on usage.
Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations. The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access. Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via ROCS. Review of applications will begin in September 2023 and will continue until the position is filled.
Position Status: Full Time
Posting Number: 23FA0830
Posting Open Date: 08/14/2023
Posting Close Date:
Qualifications:
Minimum Education and Experience: Applicants must have received a Ph.D. (or foreign equivalent) in experimental or computational structural biology, biochemistry, chemistry, physics, computer science, statistics, or related field; made outstanding contributions in basic/applied research; acted as a persuasive advocate for the open data movement and the FAIR and FACT Principles emblematic of responsible data stewardship; and successfully led large multidisciplinary teams engaged in national/international collaborations.
Certifications/Licenses:
Required Knowledge, Skills, and Abilities: Expert in computational and/or experimental structural biology with an outstanding record of accomplishment and excellent future promise working at the interface between biology/medicine and the computational, statistical, physical, chemical, mathematical, or bioengineering sciences. A track record of successfully leading large multidisciplinary teams engaged in national/international collaborations.
Equipment Utilized:
Physical Demands and Work Environment Overview Statement: The visionary appointee will be expected to direct the RCSB PDB and sustain its success for a decade or more; pursue a world-class research program; secure external federal and private funding; establish and lead an institution-wide data science initiative; serve as an effective science communicator and teacher; and mentor Rutgers undergraduate and graduate students, postdoctoral fellows, and data science professionals, by promoting and exemplifying a culture of diversity, equity, inclusion, and access.
Posting Details:
Special Instructions to Applicants: Applications should include a cover letter, CV, publication list, 3-4 page statement of research and leadership accomplishments and plans, 2-3 page statement of teaching and mentoring accomplishments and plans, and names of three potential references (candidates will be contacted before any letters are solicited). All materials should be submitted online via the job.rutgers.edu job posting. Review of applications will begin in September 2023 and will continue until the position is filled.
Quick Link to Posting: https://jobs.rutgers.edu/postings/208064
Campus: Rutgers University-New Brunswick
Home Location Campus: Busch (RU-New Brunswick)
City: Piscataway
State: NJ
Location Details: Institute for Quantitative Biomedicine - Proteomics
174 Frelinghuysen Rd
Piscataway NJ 08854
Pre-employment Screenings: All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements: Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption.
Affirmative Action/Equal Employment Opportunity Statement: It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law.
Posting Specific Questions: Required fields are indicated with an asterisk ().
Applicant Documents:
Required Documents:
- Resume/CV
- Cover Letter/Letter of Application
- Other Document
- List of Professional References (contact Info)
- Research Statement
- Other Documents (4)
Optional Documents:
Contact RU-info at 732-445-info (4639) | Questions? Ask Colonel Henry or text us at 732-662-2664.