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Statistics Data Science Jobs in New York (NOW HIRING)

Dentsu, Inc.

Manager, Data Science

New York, NY · On-site

We're looking for a Manager, Data Science to support business intelligence & data science ... This is a hands-on individual contributor role focused on analytics, statistical modeling, and ...

Warner Records

Data Scientist

New York, NY · On-site

Bachelor's, Master's, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field. 3-5 years of full-time post-graduation experience applying econometric and ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred * Experience managing or mentoring other data scientists or analysts * Strong ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred * Experience managing or mentoring other data scientists or analysts * Strong ...

FanDuel

Data Science Manager

Jersey City, NJ · On-site

Bachelor's Degree in a highly numerate major (Math, Stats, Econ, etc.) or relevant experience in data science preferred * Experience managing or mentoring other data scientists or analysts * Strong ...

Novartis

Director, Data Science

East Hanover, NJ · On-site +1

$194K - $312K/yr

Advanced degree in Computer Science, Engineering, Statistics, or related field * Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis ...

Warner Music Group

Data Scientist

Manhattan, NY · On-site

$115 - $130/hr

Bachelor's, Master's, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field. * 3-5 years of full-time post-graduation experience applying econometric ...

CookUnity

Director, Data Science/ML

New York, NY

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Established product data science roadmap aligned with business priorities; shipped at least one ...

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All JobsStatistics Data Science JobsStatistics Data Science Jobs in New York

Statistics Data Science information

See New York salary details

$50.3K

$180.5K

$266.4K

How much do statistics data science jobs pay per year?

As of Aug 17, 2026, the average yearly pay for statistics data science in New York is $180,535.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,100.00 and $186,000.00 per year, depending on experience, location, and employer.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are popular job titles related to Statistics Data Science jobs in New York?

For Statistics Data Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Statistics Data Science jobs in New York look for?

The top searched job categories for Statistics Data Science jobs in New York are:

Statistics Data Science jobs near you
Infographic showing various Statistics Data Science 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 $180,535 per year, or $86.8 per hour.

Staff Product Data Scientist, Lending

Block, Inc

New York, NY • On-site

Full-time

Posted 28 days ago

Block rating

7.9

Company rating: 7.9 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

9th of 21 rated payment service providers

Job description

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world's relationship with money to make it more relatable, instantly available, and universally accessible.
Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We've been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role
The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Lending team powers decisioning behind Cash App Borrow, Afterpay, Square Loans, and the next generation of first-party credit products.
We're looking for a Product Data Scientist to help build, measure, and improve credit products that serve customers traditional credit systems often miss. You'll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions.
This is an agentic data science role. You'll use AI tools and agent workflows to move faster and think more rigorously across the full data science loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions.
You Will
  • Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners
  • Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions
  • Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support
  • Define and maintain measurement frameworks for credit products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, and long-term customer outcomes
  • Partner with risk teams to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact
  • Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth
  • Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria
  • Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers
  • Lead technical direction and standards for the Block Data Science team - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others.
  • Drive localized cross-team impact by connecting measurement and insights across Lending products (Borrow, Afterpay, Square Loans) and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy.
  • Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations

You Have
  • A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role OR
  • A graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role
  • Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations
  • Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions
  • Experience using AI tools to improve the speed, quality, and durability of analytical work

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$239,600 - $359,400 USD
Zone B:
$239,600 - $359,400 USD
Zone C:
$239,600 - $359,400 USD
Zone D:
$239,600 - $359,400 USD
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we're helping build a financial system that is open to everyone.

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