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Data Science R Jobs in New York (NOW HIRING)

Brillio

Principal Data Scientist - R01568403

Edison, NJ · On-site

$180K - $190K/yr

Experience Range: 15 - 18 years of experience in advanced data science roles, with extensive ... and R, ensuring efficient data processing and feature engineering 5. Develop, validate, and ...

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

Data science is the engine that drives informed decision-making and unlocks the hidden potential ... Experience with programming languages, like Python, JS, or R. * Experience with Machine Learning ...

Fairygodboss

Lead Data Scientist

Parsippany Troy Hills, NJ · On-site

$100 - $130/hr

... science. * Strong programming skills in Python, R, or similar languages. * Proficiency in data manipulation and analysis using SQL and other tools (Databricks, AWS). * Experience with machine ...

Oscar Health

Data Scientist II

New York, NY · Hybrid

$131K - $172K/yr

... science, applied analytics, or a related quantitative field (industry, academia, or both) * 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data * 2+ years of ...

Sonsoft Inc

Data Science Analytics

New York, NY · On-site

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Sonsoft Inc

Data Science/Analytics

New York, NY · On-site

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python. * Tableau/Spotfire/Qlikview. * Nielsen/IRI/Market Research Data understanding. Job ...

Forhyre

Data Scientist

New York, NY · On-site

Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * Experience using ... BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other ...

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Data Science R information

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$41K

$134.3K

$215K

How much do data science r jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science r 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 a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in New York? The most popular types of Data Science R jobs in New York are:
What are popular job titles related to Data Science R jobs in New York? For Data Science R jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in New York look for? The top searched job categories for Data Science R jobs in New York are:
Data Science R jobs near you
Infographic showing various Data Science R job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 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.

SVP Marketing Data Science

Citigroup, Inc.

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Citibank rating

8.3

Company rating: 8.3 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

39th of 171 rated banks

Job description

The SVP, Marketing Data Science is a highly experienced and senior role, and part of the larger Media Sciences team in the Client Org, reporting to the Head of Media Science. This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning. This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders. This role will involve leading a team of data scientists, providing technical guidance, and fostering a culture of innovation and data-driven decision-making within the marketing function.
The Media Sciences team leads the transformation of Citi's media investment and measurement, while delivering positive return on marketing investment and future-proofing our business. The team works in close partnership with US and Global Digital Media, Analytics, Acquisitions, Advertising and Product Management teams.
Responsibilities:
  • Advanced Analytics: Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
  • Hands on implementation: Leverage multiple analytical approaches, tools and techniques, working on multiple data sources (media channel data, acquisitions data, revenue data, digital data,) A/B testing, incrementality studies addressing business questions through marketing lens
  • Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
  • Strategic Leadership: Lead the development and execution of the marketing advanced analytics roadmap, aligning with overall business objectives and marketing strategies. Provide thought leadership in the application of data science to marketing challenges, identifying new opportunities for leveraging data and analytics to drive growth and efficiency.
  • Lead, mentor, and manage a team of data scientists, fostering their professional growth and technical capabilities, and guide the team in developing appropriate data-driven solutions.
  • Stakeholder communication: Communicate complex analytical concepts and data driven insights clearly and concisely to diverse audiences, including senior leadership, marketing teams, and cross-functional partners.
  • Operational Excellence: Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment. Experience in commercialization and go-to-market for analytics project is a plus
  • Accountability: Ensure the team adheres to best practices in data science, model governance, and ethical data usage and ensure timely and effective deployment of models.
  • Thought Leadership: This role will serve as a subject matter expert in analytics - ability to understand complex business problems, develop analytical approaches to solve them and simplify outcomes for stakeholders. Drive ideation on analytical projects and present actionable recommendations based on data insights to influence strategic marketing decisions.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.

Qualifications:
  • 10 + years' experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side
  • Proficiency in programming languages such as Python and R, and experience with relevant data science libraries and frameworks.
  • Experience with big data technologies, cloud platforms, and data visualization tools (e.g., SQL, Tableau, Power BI, Dataiku).
  • Hands on experience working with complex structured and unstructured marketing data Experience leading predictive modeling using Machine Learning, Deep Learning/ Neural Networks across multiple projects
  • Strong understanding of core AI/ML concepts (e.g., RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case
  • Should be able to independently own and project manage workstreams involving multiple stakeholders, show strong sense of accountability and decisiveness in strong work ethic
  • Must be ready for hands on involvement in measurement to identify roadblocks and uncover solutions, operate with curiosity and is hypothesis driven
  • Must be process oriented and organized, operate efficiently to deliver high-quality work in a fast paced and dynamic environment across different teams
  • Extensive experience working closely with legal, compliance, and procurement teams on technology contracting and approvals in a highly regulated environment.
  • Proficient in Python / R, Hive / SQL
  • Experience on machine learning frameworks like TensorFlow, PyTorch etc.
  • Experience on Gen AI platforms and tools

Education:
  • Bachelor's/University degree (Masters or Bachelor's degree in Business Analytics, Finance, Statistics. Advanced degree preferred)

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
#LI-AB8
Job Family Group:
Marketing
Job Family:
Advertising, Branding and Media
Time Type:
Full time
Primary Location:
New York New York United States
Primary Location Full Time Salary Range:
$163,600.00 - $245,400.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Automated Processing and AI
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
Illinois residents - AI Notice and Right
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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About Citigroup Inc

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We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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