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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Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.
The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders.
Responsibilities:
- Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence.
- Build predictive models and analytics solutions to drive next-best-action recommendations and multichannel engagement strategies.
- Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns.
- Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability.
- Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights.
- Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake.
- Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives.
- Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders.
- Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.
Requirements
- Strong experience in pharmaceutical commercial analytics and healthcare data science.
- Hands-on experience working with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
- Experience with Veeva CRM data and pharmaceutical promotional data.
- Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence.
- Experience developing next-best-action models and multichannel analytics solutions.
- Strong knowledge of experimental design, holdout strategies, and campaign lift measurement.
- Proficiency in Python and SQL, with experience using Databricks or Snowflake.
- Experience with gradient boosting techniques and explainable AI methods such as SHAP.
- Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are looking for a Lead Data Scientist with strong experience in pharmaceutical commercial analytics, patient-level modeling, and healthcare data science. The ideal candidate will have hands-on experience working with US claims and real-world data (RWD) to develop predictive models, generate actionable insights, and optimize HCP engagement and commercial strategies.
The role requires strong technical expertise, leadership capabilities, and the ability to work directly with clients and present analytical findings to senior stakeholders.
Responsibilities:
- Develop patient- and HCP-level models to support patient identification, treatment switching, and therapy persistence.
- Build predictive models and analytics solutions to drive next-best-action recommendations and multichannel engagement strategies.
- Design and evaluate experiments, including holdout groups and lift measurement, to assess the effectiveness of commercial campaigns.
- Apply explainable machine learning techniques, including gradient boosting and SHAP, to improve model transparency and interpretability.
- Analyze US healthcare claims, real-world data (RWD), CRM, and promotional data to generate actionable business insights.
- Work with large datasets using Python, SQL, and platforms such as Databricks or Snowflake.
- Lead a client-facing data science team, ensuring high-quality delivery and alignment with business objectives.
- Present analytical findings, model outcomes, and strategic recommendations to brand leadership and other senior stakeholders.
- Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.
Requirements
- Strong experience in pharmaceutical commercial analytics and healthcare data science.
- Hands-on experience working with US healthcare claims and real-world data, using platforms or providers such as IQVIA, Komodo Health, or PurpleLab.
- Experience with Veeva CRM data and pharmaceutical promotional data.
- Expertise in patient-level and HCP-level modeling, including patient identification, treatment switching, and persistence.
- Experience developing next-best-action models and multichannel analytics solutions.
- Strong knowledge of experimental design, holdout strategies, and campaign lift measurement.
- Proficiency in Python and SQL, with experience using Databricks or Snowflake.
- Experience with gradient boosting techniques and explainable AI methods such as SHAP.
- Proven ability to lead data science teams, manage client relationships, and communicate insights to senior stakeholders.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
See All 43 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
- News & Publishing
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, Tiger Analytics, and FanDuel, based on current listings on Migrate Mate as of November 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 Princeton 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 76% of data scientist openings tied to New Jersey are remote or hybrid as of November 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 43 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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