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

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and ...

VP, Data Science

New York, NY ยท On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

VP, Data Science

New York, NY ยท On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

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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 Jun 11, 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:
Director, Data Science (MarTech)

Director, Data Science (MarTech)

Inmar

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and maintain advanced data-driven solutions for the problems and opportunities at Inmar Intelligence, working closely with business units, product development, and application engineering.
This role provides thought leadership on Inmar strategic plans for new products and solutions, and manages the Data Science team, both from personnel and technical perspectives.

Primary Accountabilities: (Technical)

  • Demonstrate excellent understanding and competence in the tools, techniques, and technologies used by the team: data science, machine learning, artificial intelligence, software engineering, statistical analysis, scientific method, etc.
  • Demonstrate superior collaboration with senior leadership in identifying prospective data science solutions that align with Inmar goals, as well as working with business units and product development teams in creating those solutions
  • Demonstrate superior collaboration with application engineering to build robust and secure solutions that integrate with production products
  • Demonstrate superior communication skills, especially with internal technical and non-technical stakeholders and team members, but also as an effective technical spokesperson with customers and other external stakeholders
  • Demonstrate a drive to keep skills and knowledge up to date
  • Demonstrate innovation and continuous improvement
  • Demonstrate professionalism with focus on customer satisfaction and product quality

Leadership:

  • Expand awareness and understanding of Data Science to peers and senior leadership
  • Demonstrate superior competence in managing team dynamics and organizational culture, with the objective of ensuring team effectiveness
  • Provide coaching and mentoring to team members in their professional and technical development
  • Work with minimal supervision and assumes leadership responsibilities on multiple, concurrent projects

Additional Responsibilities:

  • Performs other duties as assigned

  • Complies with all policies and standards

Required Qualifications:

  • Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus required

  • Masters in quantitative and experimentation focused field preferred

  • Doctorate in quantitative and experimentation focused field preferred

  • 10+ years related work experience in machine learning, data visualization, and other data science techniques, including at least 4 years managing others; or any equivalent combination of experience and training that provides the required knowledge, skills, and abilities needed to complete the job responsibilities required

  • Strong experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms

  • Strong experience in databases (data processing extraction, cleansing and transformation)

  • Highly proficient with presentation software: Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences

Physical Demands
The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

  • Use Hands to Handle Objects - Regularly

  • Reach with Hands or Arms - Regularly

  • Talk or Hear and Read Instructions - Regularly

  • Stand, Kneel, or Stoop and Lift 20 Pounds - Occasionally

  • View Items at a Close Range - Regularly

Rarely: Job requires this activity up to 25% of the time
Occasionally: Job requires this activity between 25% - 50% of the time
Frequently: Job requires this activity between 50% - 75% of the time
Constantly: Job requires this activity more than 75% of the time
Individual Competencies

  • Teamwork: Advanced communication skills used to lead a team.

  • Adaptable: Arrives at a conclusion based on previous experiences and good judgment.

  • Innovative: Arrives at decision using analytical thought.

  • Curious: Asseses circumstances using experience and a variety of information gathered.

  • Problem Solving: Completes routine and repetitive tasks where tasks are straightforward.

  • Communication: Contributes to strategy for their team.

  • Collaboration: Creates internal alliances outside the immediate team or department.

  • Effective Execution: Demonstrates support for innovation and organizational changes needed to improve effectiveness and efficiency.

As an Inmar Associate, you:

  • Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations.

  • Treat clients and teammates with courtesy, consideration and tact; you also have the ability to perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client.

  • Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results.

  • Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability.

  • Understand that results are important and focus on turning mission into action to achieve results following the principles of Flawless Execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome.

  • Support a safe work environment by following safety rules and regulations and reporting all safety hazards.

At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.

Eligible associates have access to:

  • Medical, Dental, and Vision insurance

  • Basic and Supplemental Life Insurance options

  • 401(k) retirement plans with company match

  • Health Spending Accounts (HSA/FSA)

We also offer:

  • Flexible time off and 11 paid holidays

  • Family-building benefits, including Maternity, Adoption, and Parental Leave

  • Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

  • Wellness and Mental Health counseling services

  • Concierge and work/life support resources

  • Adoption Assistance Reimbursement

  • Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is:

162,081.00 - 270,135.00 USD Annual

The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations.

Depending on the job level and role, it may include:

  • Annual discretionary bonuses through our Core Company Performance Bonus Plan

  • Equity grants, sign-on bonuses, and other tailored incentive opportunities

  • Additional discretionary compensation, such as:

    • Growing Revenue Incentives

    • Corporate or VIP Bonuses

    • Deferred compensation opportunities

The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice:Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in ourfull notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.