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Data Science Jobs in Edison, NJ (NOW HIRING)

Associate, Data Science

New York, NY · On-site

$64K - $65K/yr

Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a ...

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 ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and ...

This role will also manage and develop other data scientists. You will promote effective communication of model outputs and contribute to a collaborative code environment. In addition to the specific ...

In this role, you will lead a team of data scientists in solving some of the most complex and high-impact challenges in the business. You will guide the development of advanced analytics, AI, and ...

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 ...

Senior Specialist, Data Science

Rahway, NJ · Hybrid

$129K - $203K/yr

Senior Data Scientist for Clinical Data Science Realization Team in Rahway About the Role We are seeking a Senior Data Scientist to join the Clinical Data Science Realization Team (DSRT) within the ...

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 ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Showing results 21-40

Data Science information

See Edison, NJ salary details

$38.8K

$127.1K

$203.4K

How much do data science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for 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 is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

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 Data Science jobs in Edison, NJ?

For Data Science jobs in Edison, NJ, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Data Science job openings in Edison, NJ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.

Associate, Data Science

New York, NY • On-site

Horizon Media
Marketing • 1 - 5K employees

$64K - $65K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Job description

Job Description

Who We Are

Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging.
At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.

Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.

What Is blu.
blu. is Horizon's omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients' existing tech.

Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization.

Job Summary

The Associate, Marketing Science's main responsibility is to use advanced statistics and data science techniques to build qualified audiences for our client's campaigns. This person will apply sophisticated data science, modeling, and other advanced analytics techniques to help guide our clients' audience strategy to make their media campaigns resonate better and be more effective. Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a contributor and often "proof of concept" to Product enhancement and future capabilities.

In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of Agency groups. They must be intellectually curious with the drive and experience to identify, frame and solve business problems. They must be a critical thinker who can provide creative strategic solutions and who can follow-through with flawless execution. Highly driven with an exceptional work ethic, determination to overcome complex challenges, and a desire to have huge impact on the business.

Responsibilities

30% Solutions Design & Innovation

  • Ability to understand and leverage blu. structured and unstructured data
  • Ability to build end-to-end data science solutions for a non-data science audience
  • Ability to generate clear, concise and comprehensive analyses that tell the story behind the data!
  • Data transformation/mining and generation of insights to explain audience performance and inform optimization
  • Data join process between blu audiences, media exposure and conversion events to build feedback loops
  • Analysis of audience conversion to KPIs
  • Increasingly utilize AI solutions to inform and expedite some or all of the required analysis

60% Technical & Analytical Excellence

Audience Development

  • Machine Learning, Data Mining with Machine Learning with large datasets of Structured and Unstructured data. Data Validation, Predictive modeling, data visualization techniques.
  • NLP for sentiment analysis
  • Mathematical and Statistical libraries in Python and/or R
  • Experience in importing/exporting data for relational databases

Measurement

  • Time series
  • Bayesian analysis
  • Causal Inference
  • Familiarity with relational databases
  • Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot.
  • Knowledge of the data dictionaries and taxonomies of structured data sets
  • Cluster & Factor analysis
  • Ability to perform advanced data visualization

10% Product Innovation & Management

  • Become a power user to drive continuing improvement in the analysis and results supported by AI and the custom solutions built on top and around those
  • Experience working with and/or managing teams in product development
  • Consider design principles that scale and can be repeatable and/or extensible to other clients or industries
  • Participate in Product release management processes, including all levels of testing (Alph, Beta, QA, UAT)
  • Propose features, models, queries and requests and often "proof of concepts" for Product enhancement and future capabilities

Qualifications

  • BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required.
  • 0-2 years relevant experience, preferably in a media, marketing or digital advertising environment.
  • Working knowledge of Big and basic data mining routines a must.
  • Expert knowledge in an analytic and programming language such as Python, R, or a similar language
  • Working knowledge of Predictive and Machine Learning a plus.
  • Persistence: Demonstrate tenacity and willingness to go the distanceto get new things done.
  • Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision.
  • A team player who can work collaboratively within the group and across business units/functions.
  • Strong verbal communication skills, extremely well-organized.
  • Business acumen - understands the strategic levers of the business and how analytics is a catalyst for decision making.

#LI-KG1

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Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Salary Range

$100,000.00 - $120,000.00

A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.