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Parttime Data Science Jobs in Madison, NJ (NOW HIRING)

MedTech

Newark, NJ · On-site

$35 - $38/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Showing results 41-60

Parttime Data Science information

See Madison, NJ salary details

$47.4K

$170.1K

$251K

How much do parttime data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for parttime data science in Madison, NJ is $170,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,600.00 and $175,200.00 per year, depending on experience, location, and employer.

What is the difference between Parttime Data Science vs Parttime Data Analyst?

AspectParttime Data ScienceParttime Data Analyst
Required SkillsStatistical analysis, programming (Python/R), machine learningData visualization, basic statistics, Excel, SQL
Work EnvironmentTech companies, startups, research projectsBusiness, marketing, finance departments
Common CertificationsCertified Data Scientist, Python certificationsMicrosoft Excel, SQL certifications

Parttime Data Science roles typically require advanced skills in programming and machine learning, often found in tech or research settings. In contrast, Parttime Data Analyst positions focus on data visualization and basic analysis, suitable for business or marketing environments. Both roles are popular in various industries, but Data Science generally demands more technical credentials and programming expertise.

What cities near Madison, NJ are hiring for Parttime Data Science jobs?

Cities near Madison, NJ with the most Parttime Data Science job openings:

Adjunct Associate Faculty, Fundamentals of Data Engineering (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 21 days ago


Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
Seeking analytics professionals to serve as a part-time Associate for a graduate-level course on Managing Data. An Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
The Managing Data course provides students with a foundational context for managing data so that it can be leveraged and used with confidence. Analytic teams work closely with technology partners in managing data. Languages and techniques unique to each team can impede cooperation. To bridge this gap, this course provides a broad overview of data technology concepts including database engines and associated technologies and exposes students to foundational data principles, governance processes and organizational prerequisites needed to overcome challenges to ensure data quality.
Responsibilities
  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.
  • Evaluate, grade student work and assessments as requested by the course Lecturer.
  • Monitor and address student concerns and inquiries.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Graduate degree in an area related to data science, statistics, computer science or another discipline that provided rigorous training in quantitative analytics.
  • Knowledge of databases, topics in Big Data, and Data Analysis.
  • Knowledge in SQL and NoSQL databases.
  • 3+ years of related applied professional experience.

Preferred Skills & Experience
  • Knowledge of MapReduce, Spark strongly desired.
  • Other software or programming languages like R, Python, Tableau
  • Statistical and Machine learning knowledge.
  • University teaching experience.

Additional Information
Salary range: $2,000 - $3,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran