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Weekend Data Science Jobs in Edison, NJ (NOW HIRING)

Verizon

Associate Director, Data Science

Basking Ridge, NJ · On-site

$60K - $61K/yr

Elevate data science from standard "predictive modeling" to Decision Intelligence, ensuring technical outputs are directly translated into actionable business cases for senior executives (e.g ...

PepsiCo

Data Science Associate Manager

Manhattan, NY

$120K - $205K/yr

Overview We're seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution ...

FanDuel

Risk Data Science, Director

Jersey City, NJ

... Data Science Director to help shape our Risk & Trading team at America's #1 Sportsbook. The role ... weekends. In addition to the specific responsibilities outlined above, employees may be required to ...

Equation Staffing

VP of Data Science

Manhattan, NY · On-site

VP Data Science As the VP of Data Science, you'll play a critical role in building a data-driven culture and driving strategic initiatives. You'll leverage a rich data-set built on a mature data ...

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All JobsWeekend Data Science JobsWeekend Data Science Jobs in Edison, NJ

Weekend Data Science information

See Edison, NJ salary details

$38.8K

$127.1K

$203.4K

How much do weekend data science jobs pay per year?

As of Jul 3, 2026, the average yearly pay for weekend data science in Edison, NJ is $127,065.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,800.00 per year, depending on experience, location, and employer.

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 Edison, NJ? The most popular types of Data Science jobs in Edison, NJ are:
What are popular job titles related to Weekend Data Science jobs in Edison, NJ? For Weekend Data Science jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Weekend Data Science jobs in Edison, NJ look for? The top searched job categories for Weekend Data Science jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Weekend Data Science jobs? Cities near Edison, NJ with the most Weekend Data Science job openings:
Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in Edison, NJ as of June 2026, with employment types broken down into 1% As Needed, 64% Full Time, 27% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.
Associate Director, Data Science

Associate Director, Data Science

Princeton University

Princeton, NJ • On-site

$145K - $160K/yr

Full-time

Posted 28 days ago

Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

21st of 544 rated colleges and universities

Job description

Overview
As part of University Advancement Data Strategy and Innovation team, the role of the Associate Director, Data Science is to turn data into tactical information and knowledge by applying statistical, algorithmic, mining and visualization techniques. Data Strategy and Innovation plays a critical strategic role within Advancement, providing the analytical framework, data architecture, application development, and tools for data-driven decision making at all levels of the organization.
The person in this role should be a creative thinker and propose innovative ways to look at problems that can be used to make sound organizational decisions. The Associate Director, Data Science will need to be able to present their findings and communicate data in ways that can be easily understood by their business counterparts. Working with the department Executive Director, this role will supervise the activities of the data science team and provide management of day to day functional operations. This position is a hands-on role, requiring active involvement in day-to-day technical operations, problem-solving, and project execution in addition to management responsibilities.In addition, this position will serve as a liaison to other teams within University Advancement - acting as a lead and driving strategic planning to successfully execute analytics strategies and solutions in support of the University fundraising and engagement operations.
Responsibilities
Statistical Modeling and Technical Exploration
  • Utilizing a combination of business focus, strong analytical and problem-solving skills and programming knowledge, drive new innovations and data exploration
  • Develop recommendation engines or automated lead scoring systems to drive our prospect management strategy and marketing segmentation, utilizing machine learning techniques
  • Work with structured data and drive innovation in unstructured data architecture and analysis
  • Work with statistical programming language, like R or Python, and database querying language like PL/SQL
  • Utilize innovative approaches to drive knowledge, incorporate and promote a big data environment.
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as social media and web analytics

Communication, Mentoring and Analytics Implementation
  • Work with business users to define desired outcomes and business requirements of analyses, data visualization and other reporting
  • Provide expertise on mathematical concepts for broader applied analytics and inspire the adoption of advanced analytics and data science across the Advancement Office
  • Describe findings or the way techniques work to audiences, both technical and non-technical, effectively using presentation tools such as data visualization, PowerPoint and documentation to drive strategic decision making and understanding of business analytics at all levels of the organization
  • Assist in addressing daily operational questions as needed, identify critical process improvement areas and collaborate in developing procedures and solutions for enhancing a high level of customer service

Staff Management
  • Serve as the team lead for projects and priorities of the data science team, working closely with the Executive Director, Prospect, Engagement, and Data Strategy to ensure projects are aligned with department and Advancement priorities
  • Responsible for the hiring and professional development of staff including training, mentoring, and identifying goals, objectives and metrics
  • Responsible for performance management of staff and monitoring of activity and metrics
  • Other related tasks as assigned

Best Practices & Strategy
  • Working closely with Data Strategy and Innovation team members, conceive of and contribute to strategies and best practices in maintaining a comprehensive, reliable, and innovative data environment
  • Review and recommend use of new technologies, vendor services and information sources. Keep abreast of news and relevant industry trends in support of the Office of Advancement
  • Develop and maintain proficiency in using advanced analytic and database tools, internet resources, in-house data, and other references

Qualifications
  • 7+ years of professional experience required in an analytical or information specialist role within an academic, nonprofit, corporate or consulting setting.
  • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
  • Keen desire to solve business problems, and to find patterns and insights within structured and unstructured data.
  • Expert in analyzing large, complex, multi-dimensional datasets with a variety of tools.
  • Accomplished in the use of statistical analysis environments such as R, MATLAB, SPSS or SAS.
  • Experience with BI tools such as Tableau.
  • Having a good understanding of relational databases, warehouse design and architecture principles.
  • Familiarity with big data frameworks (e.g., such as Hadoop, Hive, Spark).
  • Good scripting and programming skills (e.g. familiarity with SQL, Python, Java).
  • Strong foundation in statistical, mathematical, predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find effective answers.
  • Familiar with disciplines such as: natural language processing, machine learning, conceptual modelling, statistical analysis, predictive modeling and hypothesis testing.
  • Able to create examples, prototypes, demonstrations to help management better understand the work.
  • Able to work autonomously.
  • Proficiency at planning and setting meaningful objectives to meet office goals. Ability to articulate and promote goals and implement strategic plans.
  • Education: Bachelor's Degree in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline required.

Preferred:
  • Knowledge of Princeton's mission
  • Experience in higher education
  • Master's degree or Ph.D. strongly preferred
  • Understanding of philanthropy (mission, practice, trends) and fundraising practices (the development cycle, prospect management policies and practices) preferred.

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
Standard Weekly Hours
36.25
Eligible for Overtime
No
Benefits Eligible
Yes
Probationary Period
180 days
Essential Services Personnel (see policy for detail)
No
Physical Capacity Exam Required
No
Valid Driver's License Required
No
Experience Level
Director
#LI-JJ1
Salary Range
$145,000 to $160,000

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