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

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Parttime Data Science information

See Kearny, NJ salary details

$48.1K

$172.5K

$254.6K

How much do parttime data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for parttime data science in Kearny, NJ is $172,538.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,700.00 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 job categories do people searching Parttime Data Science jobs in Kearny, NJ look for?

The top searched job categories for Parttime Data Science jobs in Kearny, NJ are:

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

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

Parttime Data Science jobs near you

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

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 10 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 in pursuit of greater human understanding, pioneering new 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

Columbia University's Master's in Applied Analytics program seeks experienced industry professionals to serve as a part-time Lecturer for a graduate-level course in Managing Data. 

The Fundamentals of Data Engineering 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

  • Lead class lectures, instructional activities, and classroom discussion. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate, grade student work and assessments.

  • Conduct office hours.

    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

    • Doctoral degree or equivalent required, 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 of SQL and NoSQL databases.

    • Knowledge of Python and Spark.

    • 10+ years of related applied professional experience.

    Preferred Skills & Experience

    • Knowledge of MapReduce strongly desired.

    • Other software or programming languages like R and Tableau.

    • Statistical and Machine learning knowledge.

    • University teaching experience.

    Additional Information

    Salary range: $11,000 - $13,000 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

    Apply