Data Scientist Jobs in New Jersey
Data Scientist jobs in New Jersey are in strong and steady demand, concentrated in pharmaceuticals, financial services, and telecommunications, with openings at every level from entry-level analyst to senior principal. The heaviest hiring activity runs through Newark, Jersey City, and Princeton, where established employers like Johnson & Johnson, Prudential Financial, and Comcast Technology Solutions maintain significant data and analytics operations. The most sought-after specializations in New Jersey right now are machine learning engineering, clinical data analytics, and risk modeling. Find a role that fits below and apply directly.
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Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects.
As a Data Science Associate in the Audit Data Strategy Team you will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm. You'll also design and implement advanced AI/ML solutions to enhance control testing and support strategic initiatives and deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities
- Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
- Drive data science and analytics strategies, including recommendations on analytical products and standards.
- Help partners define business problems and scope analytical solutions.
- Build an understanding of problem domains and available data assets.
- Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
- Perform exploratory statistics and data mining tasks on diverse datasets.
- Communicate findings and obstacles to stakeholders to drive delivery to market.
- Develop subject matter expertise in financial and operational domains.
- Code solutions with strong programming skills.
- Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
- Exceptional analytical, quantitative, problem-solving, and communication skills.
- Intellectual curiosity for solving business problems.
- Leadership and collaboration skills.
- Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
- Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
- Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
- Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills:
- Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
- Understanding of key drivers of Risk & Control Frameworks
- M.S. degree or equivalent.
**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Join our Audit Data Strategy Team as a Data Science Associate, where you'll have the opportunity to impact the Audit business through data-driven solutions and insights. This role offers career growth and the chance to work on strategic, high-visibility projects.
As a Data Science Associate in the Audit Data Strategy Team you will develop AI/ML solutions to influence how risk is identified, assessed, and mitigated across the firm. You'll also design and implement advanced AI/ML solutions to enhance control testing and support strategic initiatives and deliver actionable insights. Collaborate with partners across the Audit business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.
Job Responsibilities
- Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
- Drive data science and analytics strategies, including recommendations on analytical products and standards.
- Help partners define business problems and scope analytical solutions.
- Build an understanding of problem domains and available data assets.
- Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
- Perform exploratory statistics and data mining tasks on diverse datasets.
- Communicate findings and obstacles to stakeholders to drive delivery to market.
- Develop subject matter expertise in financial and operational domains.
- Code solutions with strong programming skills.
- Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills:
- Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 3+ years of experience.
- Exceptional analytical, quantitative, problem-solving, and communication skills.
- Intellectual curiosity for solving business problems.
- Leadership and collaboration skills.
- Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
- Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
- Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
- Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills:
- Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
- Understanding of key drivers of Risk & Control Frameworks
- M.S. degree or equivalent.
**To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).**
ABOUT USWe offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 44 Data Scientist Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Data Scientist Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Fintech
- Technology & Software
- Investment & Asset Management
- Biotechnology & Pharmaceuticals
What New Jersey Employers Look For
The qualifications that appear most often in data scientist jobs across New Jersey.
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Proficiency in Python and R for data manipulation, modeling, and analysis
- Experience building and deploying machine learning models in production environments
- Strong SQL skills and familiarity with cloud platforms such as AWS, Azure, or GCP
- Ability to communicate analytical findings clearly to non-technical business stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms
Data Scientist Jobs in New Jersey: Frequently Asked Questions
How do you become a data scientist in New Jersey?
There is no state-issued license required to work as a data scientist in New Jersey. Most employers expect at minimum a bachelor's degree in a quantitative field such as statistics, mathematics, or computer science, with a master's degree preferred for senior roles. New Jersey's dense pharmaceutical and financial services industries place particular weight on domain knowledge, so candidates with coursework or project experience in life sciences or risk analytics have a concrete advantage in the local market.
How much do data scientists make in New Jersey?
Data scientists in New Jersey earn a median of about $135,280 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $80,720 for the lowest 10% to over $203,950 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data scientists in New Jersey?
Employers hiring data scientists in New Jersey right now include JPMorganChase, TD, and Innodata, based on current listings on Migrate Mate as of September 2026. New Jersey's concentration of pharmaceutical headquarters and financial services firms means many of these openings sit within large enterprise analytics teams rather than early-stage startups.
Which New Jersey cities have the most data scientist jobs?
Jersey City, New Jersey, and Camden have the most data scientist openings in New Jersey. Newark and Jersey City benefit from proximity to New York City's financial and technology sectors, pulling in a large share of hybrid and on-site roles at banks and insurers, while Princeton draws heavily from the pharmaceutical and biotech firms clustered along the Route 1 research corridor.
Are there remote data scientist jobs in New Jersey?
Yes, and more than most fields. Data science is predominantly desk-based and output-driven, which makes it well suited to remote arrangements. About 77% of data scientist openings tied to New Jersey are remote or hybrid as of September 2026, reflecting employer flexibility that remains strong in this role. Modeling, research, and reporting work tends to be the most consistently remote, while roles requiring close collaboration with laboratory or trading-floor teams are more likely to require on-site presence.
How can I get hired as a data scientist in New Jersey with little or no experience?
The most realistic entry path is through an analytically adjacent role such as data analyst, business intelligence analyst, or research associate, which New Jersey employers in pharma and finance hire at the junior level and treat as a pipeline for data science promotion. Large New Jersey-based employers including Johnson & Johnson and Prudential Financial run rotational analytics programs and new-graduate associate tracks that accept candidates without direct data science experience. Building a portfolio of machine learning projects and earning a cloud certification adds concrete evidence of capability when your resume lacks professional titles.
Where can I find and apply to data scientist jobs in New Jersey?
You can find and apply to data scientist jobs in New Jersey on Migrate Mate, which lists current openings from employers actively hiring in the state. Find roles that fit your background and apply directly to each one.
See All 44 Data Scientist Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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