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Data Science And Analytics Jobs in New York (NOW HIRING)

CVS Health

Data Science Analyst

New York, NY · On-site

$74K - $148K/yr

Assists in preparing reports that outline data analytics results and solutions for existing and ... on data science best practices. Education Bachelor's degree preferred. Prior Relevant Work ...

New

Jerry Insurance Agency, LLC

Data Scientist

New York, NY · On-site

$140K - $160K/yr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a ...

NYULMC

Data Science Analyst/Engineer

New York, NY · On-site

... decision analytics. There are also strong opportunities to help incorporate imaging and ... data scientists, and researchers. Minimum Qualifications: To qualify you must have a Masters degree ...

Anthropic

Data Scientist, GTM

New York, NY

About the role As part of our growing Data Science & Analytics team, you will play an instrumental role in Anthropic's mission of building safe and beneficial AI - this time by driving data-informed ...

MoonPay Inc.

Director, Data & Analytics

Manhattan, NY · On-site

$360 - $410/hr

Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)

MoonPay

Director, Data & Analytics

New York, NY · On-site

$410K/yr

Data Scientists (experimentation, modeling, causal inference), Analytics Engineers (data modeling, self-serve infrastructure), and Data Analysts (product metrics, dashboards, ad hoc analysis)

FanDuel

Data Science Manager

Jersey City, NJ · On-site

This role will also manage and develop other data scientists. You will promote effective ... Construct models, analyses and solutions in response to a question or problem posed by a ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

This role will also manage and develop other data scientists. You will promote effective ... Construct models, analyses and solutions in response to a question or problem posed by a ...

Omaze

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

This role will also manage and develop other data scientists. You will promote effective ... Construct models, analyses and solutions in response to a question or problem posed by a ...

FanDuel

Data Science Manager

Manhattan, NY · On-site

$149 - $186/hr

This role will also manage and develop other data scientists. You will promote effective ... Construct models, analyses and solutions in response to a question or problem posed by a ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

This role will also manage and develop other data scientists. You will promote effective ... Construct models, analyses and solutions in response to a question or problem posed by a ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in New York

Data Science And Analytics information

See New York salary details

$41K

$134.3K

$215K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics 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.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.

What cities in New York are hiring for Data Science And Analytics jobs?

Cities in New York with the most Data Science And Analytics job openings:

Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $134,280 per year, or $64.6 per hour.

Data Science Analyst

CVS Health

New York, NY • On-site

$74K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,341 frontline employees who took The Breakroom Quiz

91st of 113 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Job Description

Primary Job Duties & Responsibilities

  • Contributes to the development of systems that utilize data-oriented programming languages and visualization software to explore, analyze, and interpret data in various forms.
  • Compiles data from multiple sources by utilizing data mining, data modeling, natural language processing, and machine learning techniques.
  • Designs basic data solutions that meet client requirements and organizational quality standards by leveraging industry-leading tools, technologies, and best practices.
  • Applies functional data science and machine learning knowledge to help improve patient care capabilities, optimize healthcare operations, and drive evidence-based decision-making.
  • Develops basic analytical frameworks, key metrics, and performance dashboards to monitor, measure, and evaluate healthcare quality, efficiency, and performance.
  • Confers with internal stakeholders, including Information Technology (IT) professionals and business analysts, to understand their needs and provide data-driven solutions.
  • Assists in preparing reports that outline data analytics results and solutions for existing and prospective constituents.
  • Conducts research on innovative data analysis techniques, visualization tools and software, and object-oriented programming languages to develop individual knowledge and professional capabilities.
  • Ensures departmental adherence to all applicable data governance policies and procedures by educating team members on data science best practices.


Education
Bachelor's degree preferred.
Prior Relevant Work Experience
0-2 years

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$74,160.00 - $148,320.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/27/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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