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Data Science Intern Jobs in Passaic, NJ (NOW HIRING)

Data Science and AI The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients' business ...

The role: We're looking for a Director, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond ...

About The Role You'll join our data science team working with an entirely new class of AI models. As a Data Scientist at Prior Labs, you'll be the critical link between our foundation models and real ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science and Analytics The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

Data Science and AI TheData Scienceteamispivotal in the delivery of modern agency services.We are tightly integrated withmarketing scienceteams to deliver on and exceed our clients'business goals.

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

Burson is seeking a Vice President, Data Science to join our Insights & Intelligence (I&I) team. This highly strategic and hands-on role will drive advanced analytics, data science, dashboarding ...

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

Director of Data Science

New York, NY · On-site

$225K - $250K/yr

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize ...

Senior Data Scientist

New York, NY · On-site

$126K - $199K/yr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

Senior Data Scientist

Manhattan, NY · On-site

$126 - $200/hr

... Science, or related field plus 2 years of experience as a Data Scientist, Data Analytics Extern, Data Scientist Intern, or related occupation. * Must have prior experience, internship, project ...

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Associate Director, Data Science

New York, NY · On-site

$64K - $65K/yr

Data Science and AI PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media ...

Showing results 41-60

Data Science Intern information

See Passaic, NJ salary details

$12

$23

$43

How much do data science intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data science intern in Passaic, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Passaic, NJ?

The most popular types of Data Science jobs in Passaic, NJ are:

What job categories do people searching Data Science Intern jobs in Passaic, NJ look for?

The top searched job categories for Data Science Intern jobs in Passaic, NJ are:

What cities near Passaic, NJ are hiring for Data Science Intern jobs?

Cities near Passaic, NJ with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Passaic, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $48,467 per year, or $23.3 per hour.

Director, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency


Job description

Company description
PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.
Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.
Open to candidate in NYC, Philadelphia or Chicago
Overview
The Director, Applied Data Science plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy, audience engagement, and business decisions.
The Director serves as a technical lead across multiple client engagements, partnering with cross-functional teams to develop privacy-compliant, data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.
Responsibilities
Key Responsibilities
  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.
  • Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
  • Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
  • Apply advanced media measurement methodologies, including marketing mix modeling (MMM), multi-touch attribution, incrementality testing, lift studies, and experimental design to evaluate campaign effectiveness and optimize marketing investments.
  • Apply advanced statistical methods, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
  • Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
  • Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
  • Drive automation of recurring analyses, reporting, and model monitoring to improve operational efficiency and scalability.
  • Promote best practices in statistical analysis, model validation, documentation, data quality, and reproducible analytics.
  • Collaborate closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
  • Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
  • Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offerings.

Qualifications
Requirements
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field required; Master's degree preferred.
  • 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
  • Experience leading complex analytics projects and providing technical leadership to cross-functional teams.
  • Advanced proficiency in Python, R, SQL, and modern data visualization tools.
  • Experience working with cloud-based analytics platforms such as Azure, Databricks, Snowflake, AWS, or similar technologies.
  • Experience in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
  • Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
  • Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Preferred Qualifications
  • Demonstrated ability to manage multiple client engagements and priorities in a fast-paced, collaborative environment.
  • Experience mentoring junior team members and fostering technical best practices.
  • Experience within healthcare, pharmaceutical, life sciences, or marketing analytics.
  • Experience working with healthcare and pharmaceutical data sources, including HCP/NPI-level data, medical and pharmacy claims, prescription data, and commercial healthcare datasets.
  • Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health, MMIT, Komodo Health, IQVIA, PurpleLab, or similar data providers.
  • Experience working within privacy-safe data environments, including clean rooms and HIPAA-compliant environments, with knowledge of PHI, de-identified, and limited datasets.

Additional information
Our Publicis Groupe motto "Viva La Différence" 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 USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
#LI-YM1
Compensation Range: USD $112,290.00 - USD $179,712.00/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. 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 10/2/2026.

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