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Data Science Jobs in New York (NOW HIRING)

Tranzact

Head of Data Science

Fort Lee, NJ · On-site

As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide ...

American Express

Mgr-Data Science

New York, NY · On-site

This role sits within Finance Data Science and Analytics, a team focused on developing innovative solutions that bring greater stability, predictability, and insight to the AXP P&L through data ...

Tatari

Data Science Analyst

New York, NY

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Tatari

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Brigit

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 ...

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 ...

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 ...

American Express

Directors, Data Science

New York, NY · On-site

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 ...

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

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment.

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, 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 ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in New York

Data Science information

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$41K

$134.3K

$215K

How much do data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data science in New York is $134,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $148,800.00 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 New York? The most popular types of Data Science jobs in New York are:
What are popular job titles related to Data Science jobs in New York? For Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in New York look for? The top searched job categories for Data Science jobs in New York are:
What cities in New York are hiring for Data Science jobs? Cities in New York with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 36% In-person, 18% Hybrid, and 46% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Head of Data Science

Tranzact

Fort Lee, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

TRANZACT rating

6.4

Company rating: 6.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

276th of 306 rated insurance

Job description

TRANZACT is a leading direct-to-consumer insurance services business, specializing in the distribution of Medicare Advantage, Medicare Supplement and Life & Supplemental insurance policies. Our focus is on leveraging our highly skilled team of over 3,000 professionals to deliver innovative solutions for our insurance carrier partners and provide consumers with a best-in-class experience.
We work with some of America's largest insurance brands to attract, educate and connect with consumers. Our diverse team of analysts, writers, engineers, designers, business leads, data scientists and sales professionals all work together to create thoughtful, data-driven and effective marketing, technology, sales and servicing strategies. These efforts have resulted in TRANZACT earning recognition and winning awards from some of the biggest names in the industry.
When you become part of TRANZACT, you join a team of passionate people who push for excellence, follow through on commitments, and love to succeed together. Our culture rests on a simple principle - "Be Real" - that means being genuine, keeping your word, and having the courage to make tough decisions. Our "Be Real" values resonate and are meaningful to us. We are entrepreneurial, fast paced and empower our people. We know how to make things happen and know that our people are always the source of our success.
Position Summary
TRANZACT is looking for a hands-on data leader who thrives at the intersection of high-impact analytics, people development, and strategic influence to help shape the future of our data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for what data can do when aligned with bold business goals.
As the Head of Data Science, you will oversee and support advanced analytics projects that impact the entire sales funnel and touch all of our product categories. You'll drive delivery of a wide range of ML models and advanced analytics including predictive modeling, segmentation, lead scoring, marketing optimizations as well as crafting data stories and presentations of key findings to stakeholders.
Your primary role will be to put Data Science in the center of all our marketing and business decisions. To get there you need to have a deep understanding of data science marketing, what works, where to find leverage and how to build a team around driving best in class marketing outcomes. This is not a support role. While the marketing team may come to your team for help with certain analyses, your team's primary role is to find areas of opportunity for marketing to execute against.
The Responsibilities of the Head of Data Science include:
  • Help develop Data Science team's project and roadmap in line with business objectives and strategic opportunities.
  • Lead and oversee a team of (5) data scientists and analysts to deliver best-in-class impactful models and analysis.
  • Day-to-day collaboration with cross-functional teams to understand evolving business needs and develop effective analytics solutions and models.
  • Execute on a model strategy roadmap to continuously improve accuracy and functionality of models and business outcomes.
  • Drive data science initiatives to improve customer engagement and operational efficiency through personalization and effective targeting.
  • Deliver on varied projects such as customer audience segmentation, propensity models, and dynamic bidding algorithms.
  • Be an SME and key producer of forecasting model development, production, and execution, in partnership with our Enterprise Data Management and Technology teams.
  • Prepare and deliver presentations summarizing key insights and conclusions, often to senior leaders.
  • Embrace and foster a curious growth and learning mindset for the entire team.
  • Support a collaborative, team-oriented and client-focused organization that's motivated by business and technical challenges.

Qualifications include:
  • Bachelor's degree in a quantitative or related field, and 8+ years of relevant experience.
  • Data Science experience within marketing. Needs to have done the following:
    • Attribution modeling
    • Audience segmentation, targeting and measurement. Experience within clean rooms a bonus
    • Campaign lift analysis
    • Predictive modeling
    • KPI forecasting and scenario planning
    • Funnel conversion analysis
    • Geo performance and market opportunity analysis
    • Marketing experimentation frameworks
  • Hybrid work schedule in Fort Lee, NJ
  • Strong leadership skills and successful outcomes as a people manager.
  • Excellent SQL, Python, and Databricks skills.
  • Intuitive business and analytical skills with the ability to collect, organize, analyze, and disseminate relevant information with attention to detail and accuracy to non-technical and senior leadership audiences.
  • Deep experience with successful statistical modeling, machine learning and other advanced analytics methods.
  • Proactive, results-driven, and have a proven track record of execution.
  • Structured thinker with exceptional verbal and written communication skills.

Preferred qualifications include:
  • Masters in a quantitative or related field (i.e., Data Science, Statistics, etc.).
  • Experience in a direct to consumer, financial service, or insurance sector(s).

Compensation and Benefits
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that base salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation.
Compensation
The base salary compensation range being offered for this role is $200,000 and above per year.
This role is also eligible to participate in the annual bonus program.
Company Benefits
TRANZACTprovides a competitive benefit package which includes the following (eligibility requirements apply):
  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identity Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program).
  • Leave Benefits: Paid Holidays, Annual Paid Time Off (includes state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g. Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave).
  • Retirement Benefits: Savings Plan with annual nonelective company contribution.

TRANZACT is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Equal Opportunity Employer/Disability/Vet

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