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Data Science Jobs in Secaucus, NJ (NOW HIRING)

Aon Corporation

Data Science Lead

Manhattan, NY

Data Science Lead The Data Science Lead will be a lead member of the AGRC North America Data & Analytics (D&A) team, driving the evolution of our advanced analytics and AI capabilities. This role is ...

Aon Corporation

Data Science Lead

Manhattan, NY · On-site

Data Science Lead The Data Science Lead will be a lead member of the AGRC North America Data & Analytics (D&A) team, driving the evolution of our advanced analytics and AI capabilities. This role is ...

American Express

Directors, Data Science

Manhattan, NY · On-site

$169K - $215K/yr

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. Responsibilities Lead the provision of credit-related analytical support ...

Aon

Data Science Lead

Manhattan, NY · On-site

Data Science Lead The Data Science Lead will be a lead member of the AGRC North America Data & Analytics (D&A) team, driving the evolution of our advanced analytics and AI capabilities. This role is ...

Meta

Data Science Director (IC)

New York, NY

$253K/yr

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 ...

Cigna

Data Science Advisor - Hybrid

Morris Plains, NJ · On-site +1

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

S&P Global, Inc.

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

S&P Global

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Spgi

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

S&P Global

Vice President, Data Science

New York, NY

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate. This ...

Mercor

Enterprise Data Science Specialist

New York, NY · Remote

$60 - $70/hr

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

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All JobsData Science JobsData Science Jobs in Secaucus, NJ

Data Science information

See Secaucus, NJ salary details

$38.1K

$124.8K

$199.8K

How much do data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science in Secaucus, NJ is $124,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $138,300.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Secaucus, NJ? The most popular types of Data Science jobs in Secaucus, NJ are:
What are popular job titles related to Data Science jobs in Secaucus, NJ? For Data Science jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Secaucus, NJ look for? The top searched job categories for Data Science jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Data Science jobs? Cities near Secaucus, NJ with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Secaucus, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 4% Hybrid, and 16% Remote job distribution, with an average salary of $124,786 per year, or $60 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

Re-posted 11 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 Associate Director of Data Science is responsible for leading advanced audience development and data and technology enablement to drive client growth. This role is both strategic and hands-on, working with large individual- and transaction-level datasets to design and deliver best-in-class data science solutions that enable clients to identify, target, engage, and measure audiences with precision and efficiency. The data scientist must be able to translate across technical and non-technical stakeholders in both directions: from client requirements to innovative data science solutions, and from quantitative results to business-relevant, actionable insights.
Responsibilities
  • Navigate a complex, multi-source data environment and creatively identify appropriate datasets and methodologies for ever-changing client questions

  • Monitor data quality and maintain data science pipelines for client data assets, including 1PD and 3PD

  • Develop, deploy, and maintain ML and AI workflows for identifying and targeting relevant audiences, including propensity/classification models as well as unsupervised clustering/segmentation

  • Develop and execute novel methods of analyzing audiences, such as customer profiling, customer journeys, purchase predictions/recommendations, etc.

  • Collaborate with strategy teams to translate technical outputs into relevant business insights and recommendations, including client-facing discussions and dashboards

  • Collaborate with analytics teams to develop and implement testing frameworks for closed-loop audience measurement

  • Develop and implement a test-and-learn roadmap to continuously refine data-driven strategies, enabling rapid optimization

  • Contribute to data science team- and practice-building initiatives, e.g. presenting case studies in cross-functional forums, creating collateral around data capabilities, and pursuing internal research projects

  • Document and share optimized, reusable code with data science colleagues using Git

  • Continuously innovate, staying current with the latest technological developments and applying them to current workflows

  • Independently set, communicate, and deliver against realistic expectations and timelines

  • Guide the development of client data strategy and promote the adoption of data-driven processes across planning, activation, and measurement

  • Proactively identify and pursue new use cases and opportunities to use data science capabilities to solve client challenges

Qualifications
  • 4+ years of data science experience in advertising, marketing, or related fields, with agency experience preferred

  • Advanced degree in Statistics, Data Science, or other quantitative fields preferred

  • Deep theoretical and practical understanding of statistical/ML techniques and experimental design

  • Hands-on experience with granular, disaggregated data, particularly behavioral consumer datasets and/or media logs; engagement with publisher walled gardens (AMC, ADH, etc.) a plus

  • Advanced proficiency with SQL for big data analytics and Python for production-ready workflow development

  • Experience with Databricks or similar cloud-based big data platforms, e.g. Snowflake, BigQuery, Redshift

  • Experience building agentic workflows and integrating AI solutions into existing data and tech stacks

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.
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 10/7/2026.

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