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Data Science Jobs in Union, NJ (NOW HIRING)

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 ...

American Express Company seeks Directors, Data Science to drive the strategic analysis of credit metrics and credit provision. At American Express, our culture is built on a 175-year history of ...

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 ...

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 ...

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.

In this role, the successful candidate Data Engineer / Data Scientist will work to build the data foundation for the groups machine learning and decision-analytic research. This role has two ...

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 ...

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 ...

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 1 year of experience designing data pipelines (ETL) and model data. * Experience analyzing data ...

• Partner with Planning & Investment teams to provide hands‑on Data Science support across the entire campaign lifecycle • Build advanced machine learning models to cluster and segment ...

Associate Director, Data Science

New York, NY · Hybrid

$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 information

See Union, NJ salary details

$38.2K

$125.1K

$200.2K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Union, NJ is $125,075.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,600.00 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 Union, NJ?

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

What are popular job titles related to Data Science jobs in Union, NJ?

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

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

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

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

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

Infographic showing various Data Science job openings in Union, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,075 per year, or $60.1 per hour.

Director of Data Science

Brigit

New York, NY • On-site

$225K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

Role Overview:
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 in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.
What you'll be doing:
  • Managing and growing a team of data scientists focused on modeling key business problems.
  • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.
  • Evangelizing the data science team's capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
  • Helping lead the team's adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

What you have:
  • 2+ years of Data Science management with a team of >3
  • 5+ years of modeling/data science experience overall
  • 2+ years of experience at a consumer product company
  • Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
  • A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000, and a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.