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Freelance Machine Learning Jobs in Elizabeth, NJ

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

We build inferential and predictive models, including machine learning algorithms and AI; we ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Experience with AI or machine learning projects * Previous experience in content moderation, academic review, red-teaming, or consulting roles * Familiarity with ethical considerations and challenges ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

Hands-on experience running statistical or machine learning procedures, such as descriptive ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

Hands-on experience running statistical or machine learning procedures, such as descriptive ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Freelance Machine Learning information

See Elizabeth, NJ salary details

$14

$48

$133

How much do freelance machine learning jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for freelance machine learning in Elizabeth, NJ is $48.01, according to ZipRecruiter salary data. Most workers in this role earn between $24.42 and $62.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Freelance Machine Learning position, and why are they important?

To thrive as a Freelance Machine Learning professional, you need a solid background in mathematics, statistics, programming (especially in Python or R), and experience with machine learning algorithms. Proficiency in tools like TensorFlow, PyTorch, scikit-learn, and often cloud platforms such as AWS or Google Cloud is highly valuable, and certifications in data science or machine learning can enhance your credibility. Strong communication skills, self-motivation, and the ability to manage time and client relationships independently help you excel in a freelance setting. These abilities ensure you can deliver effective solutions, secure repeat clients, and adapt quickly to various project requirements in a competitive market.

What are common challenges faced by Freelance Machine Learning professionals and how can they be managed?

Freelance Machine Learning professionals often face challenges such as managing multiple projects with varying requirements, keeping up with rapidly evolving technologies, and clarifying expectations with diverse clients. Effective time management, strong communication to set clear deliverables, and continual learning are key strategies to overcome these obstacles. Building a broad professional network and maintaining a strong online portfolio also help freelancers attract and retain clients. Staying organized and routinely updating technical skills can turn these challenges into opportunities for professional growth and success.

What is a Freelance Machine Learning job?

A Freelance Machine Learning job involves working independently on machine learning projects for various clients instead of being employed by a single company. Freelancers may develop models, analyze data, fine-tune algorithms, or deploy AI solutions based on client needs. They often find work through freelance platforms, networking, or direct client outreach. This role offers flexibility in workload, project selection, and work location, but it also requires self-marketing and project management skills.

What job categories do people searching Freelance Machine Learning jobs in Elizabeth, NJ look for? The top searched job categories for Freelance Machine Learning jobs in Elizabeth, NJ are:
What cities near Elizabeth, NJ are hiring for Freelance Machine Learning jobs? Cities near Elizabeth, NJ with the most Freelance Machine Learning job openings:

$72K - $109K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.

Overview

Our Data Scientists deliver analytic solutions across a wide variety of client applications.  We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.

As a Data Scientist, you'll address complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-by accessing, integrating, manipulating, mining and modeling a wide array of data sources. 

Responsibilities

Job Responsibilities:

 

  • Translating marketing and business questions into data queries.
  • Using distributed computing systems to access and manipulate big data sources.
  • Conducting exploratory analysis to identify relevant insights and useful transformations.
  • Applying quantitative techniques to uncover latent patterns in the data.
  • Interpreting data, analytical results and visuals to generate conclusions and recommendations.
  • Testing scalable data pipelines or models for real-time applications.
  • Ensuring that analytic tasks and results meet established objectives and timelines.
  • Sharing knowledge and conducting research to advance the collective knowledge and skills of our Data Science practice.
Qualifications

We're looking for relevant academic, research or work experience, which typically includes:

 

  • A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
  • Hands-on experience analyzing data for patterns and insights.
  • Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning.
  • Hands-on experience with Python or R.  Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred.
  • Demonstrated interest in marketing analytic applications.
  • Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
  • Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALLE, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.

Got the sparkle? Apply if you believe your unique skills are a fit.

Additional Information

Digitas is an equal opportunity employer.

Additional InformationOur Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.  Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.  Our benefits package includes medical coverage, dental, vision, disability, 401K,  as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com. Compensation Range: $72,390- $109,480, annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be November 1st, 2025All your information will be kept confidential according to EEO guidelines.  Compensation Range: USD $72,390.00 - USD $109,480.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 12/1/2025.Employment Type: OTHER