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Associate Data Science R Jobs in New York, NY (NOW HIRING)

Omnicom Media US PHD

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Varsity Tutors

Data Science Tutor

New Rochelle, NY · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Hoboken, NJ · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Westfield, NJ · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Paterson, NJ · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

White Plains, NY · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Elizabeth, NJ · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Norwalk, CT · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Data Science Tutor

Jersey City, NJ · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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All JobsAssociate Data Science R JobsAssociate Data Science R Jobs in New York, NY

Associate Data Science R information

See New York, NY salary details

$62.9K

$74.4K

$141.1K

How much do associate data science r jobs pay per year?

As of Jun 11, 2026, the average yearly pay for associate data science r in New York, NY is $74,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $65,100.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist or an associate data science R. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming in R or Python, understanding statistics, and completing certifications or courses. Employers value skills and experience over age, and continuous learning can help you succeed in the field regardless of when you start.

What can I do with an associate's degree in data science?

An associate's degree in data science prepares individuals for entry-level roles such as data analyst, data technician, or junior data scientist. These positions involve working with data collection, cleaning, basic analysis, and using tools like Excel, SQL, or Python. Additional certifications and hands-on experience can enhance job prospects in this field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to focus on the most impactful variables or tasks to improve model performance efficiently.

What jobs can I get with R?

With R skills, you can pursue roles such as data analyst, data scientist, statistical programmer, or research analyst. These positions typically require proficiency in data manipulation, statistical modeling, and visualization, often using R packages like ggplot2, dplyr, and caret, and may involve working in industries like finance, healthcare, or technology.
What are the most commonly searched types of Data Science R jobs in New York, NY? The most popular types of Data Science R jobs in New York, NY are:
What are popular job titles related to Associate Data Science R jobs in New York, NY? For Associate Data Science R jobs in New York, NY, the most frequently searched job titles are:
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Associate Data Science R jobs near you
Infographic showing various Associate Data Science R job openings in New York, NY as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $74,437 per year, or $35.8 per hour.
Senior Associate, Data Scientist - Global Real Estate Design & Construction

Senior Associate, Data Scientist - Global Real Estate Design & Construction

JPMorgan Chase & Co

Manhattan, NY

$64K - $65K/yr

Full-time

Medical, Retirement

Posted 5 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Join our Global Real Estate (GRE) Design & Construction (D&C) team and help shape the future of workplace insights at JPMorganChase. You'll be part of a fast-paced, collaborative organization where your ideas drive innovation and measurable impact. You'll gain exposure to high-visibility projects across the firm while building strong stakeholder partnerships. This role offers opportunities to grow your data science capabilities and expand your influence across a global organization.

Job summary 

As a Senior Associate, Data Scientist within Global Real Estate Design & Construction, you will design, deploy, and scale analytics solutions that turn complex real estate and project delivery questions into trusted, actionable insights. You will partner with cross-functional teams to improve project delivery, capital planning, and workplace experience. You will apply statistical modeling and experimentation to solve ambiguous problems using diverse datasets. You will communicate findings clearly through compelling data storytelling and visualization. You will help drive decisions by delivering insights that are practical, measurable, and aligned to risk management practices.

You will work across proprietary and industry-standard tools and data sources to assemble, organize, and analyze information at scale. You will contribute to a culture of continuous improvement by researching new measurement approaches and analytics methods. You will be expected to manage priorities effectively and deliver high-quality outcomes under tight timelines. You will collaborate with partners across job functions, adapting your message to audiences with different levels of technical expertise.

Job responsibilities 

  • Convert data into actionable insights and communicate outcomes through clear visualizations and storytelling
  • Build advanced analytics using methods such as predictive modeling, text mining, forecasting, optimization, and simulation
  • Apply data analysis techniques to develop recommendations and present insights to management
  • Use statistical and mathematical techniques to solve complex, unstructured business problems across varied datasets
  • Develop statistical models and design controlled experiments to test ideas and validate hypotheses
  • Research, develop, and implement new methods to measure and analyze datasets and processes
  • Assemble, organize, and analyze data using a range of proprietary, industry-standard, and open-source data stores and tools
  • Make decisions aligned to risk management practices and policies in the best interest of the firm

Required qualifications, capabilities, and skills 

  • Master's degree or PhD in a quantitative discipline such as Statistics, Physics, Economics, Applied Math, Computer Science, Operations Research, or Computational Sciences, including coursework/projects in machine learning and data analysis
  • Three or more years of related experience in data science roles
  • Intermediate knowledge of statistical software packages including SAS, Python, and R
  • Ability to navigate relational databases effectively
  • Practical knowledge of advanced statistical techniques, predictive modeling, time series forecasting, and text mining
  • Ability to explain complex concepts in digestible terms for audiences with varying levels of expertise
  • Intermediate knowledge of machine learning and strong data storytelling capabilities
  • Proactive and results-driven approach with a proven track record of execution
  • Ability to influence stakeholders at all levels across a broad range of job functions
  • Ability to prioritize projects and efforts based on business need and industry trends
  • Sound judgment and integrity, with demonstrated commitment to compliance with regulatory obligations

Preferred qualifications, capabilities, and skills 

  • Industry experience in real estate, architecture, construction, or engineering
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We 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

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.

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