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Data Science Jobs in Edison, NJ (NOW HIRING)

VP, Data Science

New York, NY · On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

VP, Data Science

New York, NY · On-site

$163K - $220K/yr

Role Summary Reports to: EVP, Data Experience Lead Dentsu's measurement and marketing science capability across MMM, RBA, incrementality, forecasting, and market design. You will own the science and ...

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

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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 Jun 12, 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 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.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

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.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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.

What jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems 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 June 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Contract. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $127,065 per year, or $61.1 per hour.

Associate Director, Data Science

Publicis Groupe Holdings B.V

Manhattan, NY • On-site

$64K - $65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


Job description

Company description
Spark Foundry was built during the most transformative time in the history of advertising and marketing. We deliver everything a traditional media agency has to offer and have grown into one of the world's most successful agencies by helping brands evolve their marketing by leveraging identity, commerce, artificial intelligence, and more to connect with people. Transformation is part of our DNA. Spark Foundry's start-up spirit delivers high-touch approaches and a never-ending desire to challenge the status quo. Combined with Publicis Media's powerhouse soul leveraging connected data assets, advanced AI applications, and investment clout, we "Bring HEAT to Brands." No other agency possesses the expertise that we do to address today's most pressing challenges to drive business transformation through media.
Overview
The Data Scientist Associate Director is responsible for advanced audience development and technology enablement. This role requires deep expertise in data science methodologies, client management, and cross-functional collaboration to deliver high-value insights and business impact. Working closely with client stakeholders and internal team leads are vital parts of the role, with accountability for the highest quality execution of a diverse array of client and project deliverables an imperative. The role functions as an expert technical point of escalation, an analytical problem solver, and a technical translator to internal account teams and clients. It provides ongoing strategic account direction/vision for technology, process, and data science.
Responsibilities
  • Guide the clients in clean room strategy and enable the use of this futureproofed technology
  • Create and oversee propensity model development using machine learning for net new and refresh of existing audiences
  • QA and troubleshooting of 1P onboarded data to ensure acceptable match rates with client systems
  • Advance internal modeling practices to optimize core hour usage and drive activation efficiency
  • Perform audience analyses on existing customer segments and collaborate across internal teams to present actionable insights
  • Guide the development of statistically sound test designs, minimizing bias and delivering actionable outcomes
  • Stay informed about evolving media landscapes, providing research and insights to media teams and clients
  • Communicate insights effectively, ensuring understanding and application of data science outcomes by clients
  • Build impactful presentations that clearly outline the importance of analyses, the insights revealed, and recommended actions
  • Drive organic revenue growth through cross-selling and up-selling data science products across client divisions and categories
  • Index report Python script runs and maintenance for data organization that leads to more efficient analysis
  • Develop and implement a test-and-learn roadmap to continuously refine strategies and optimize data-driven decisions, ensuring clear measurement frameworks and actionable insights
  • Create and manage deliverables against detailed roadmap that align expectations with outcomes
  • Provide a high-value consultation layer on top of data science deliverables

Qualifications
  • 6-8 years of experience in advertising, marketing, or data science fields, with agency experience strongly preferred
  • Quantitative educational background
    • Nice to have (preferred advanced degree in Statistics and / or Data Science)
  • Experience with Habu, LiveRamp, EPC, Snowflake cleanroom for audience design
  • Advanced proficiency in SQL, Python, and statistical modeling techniques (e.g., logistic regression, clustering) to manipulate data and draw insights from large data sets
  • Familiarity with cloud services (e.g., AWS, Redshift) and large-scale data management
  • Solid understanding of digital media buying, KPI development, and programmatic audience buying
  • Proven ability to manage and present to clients, with experience resolving complex data-related challenges
  • Strong critical thinking and problem-solving skills - a demonstrated ability to mine data for relevant and actionable insights
  • Exceptional written and verbal communication skill with ability to communicate/translate complex concepts to non-technical audience
  • Proven ability to manage cross-functional teams and fast-paced projects while meeting tight deadlines
  • Proven hands-on knowledge and experience of advanced statistical concepts and machine learning techniques (logistic regression, k-means clustering, etc.)
  • Understanding of experimental design and the concept of statistical significance in terms of test results
  • Experience in a cross-functional team environment with agency experience a big plus
  • Strong understanding of contemporary marketing analytics, advertising technology and research techniques, as well as an innovative vision on how the practice should evolve to keep pace with the ever-changing marketing environment
  • Strong client management/consultative experience with both presenting and resolving issues
  • Specific attention to detail to ensure that data anomalies/mistakes are caught prior to delivery of the analysis to the client teams
  • Outgoing and able to integrate with fast-paced planning and activation teams
  • Able to cultivate excellent relationships with clients and technology partners
  • Ability to meet deadlines in a fast-paced environment

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 USMSTACompliance@publicis.com.
Compensation Range: $112,290 - $179,712 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 07/16/2026.
All your information will be kept confidential according to EEO guidelines.
#LI-HA1
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. 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 7/1/2026.