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Remote R Programming Jobs in Huntington, NY (NOW HIRING)

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... SAS programming to deliver robust and scalable analytics across multiple studies. KEY ...

Vice President, Engineering

New York, NY · Remote

$184K - $237K/yr

As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while ... Distributed remote team with hybrid offices in NYC and Vancouver * This role requires regular and ...

Develop end-to-end solutions to abstract business and engineering problems related to funnel ... R or Python; * Database query languages: SQL; * Experimentation techniques including simulation or ...

Location can be remote. As long as the candidate is available to work during EST business hours and ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Develop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau ...

Showing results 41-60

Remote R Programming information

See Huntington, NY salary details

$84.7K

$131.2K

$159.8K

How much do remote r programming jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote r programming in Huntington, NY is $131,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,700.00 and $147,600.00 per year, depending on experience, location, and employer.

What is a remote R programming?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What does a remote R programmer do?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What are the key skills and qualifications needed to thrive in the remote R programming position?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What are the most commonly searched types of R Programming jobs in Huntington, NY?

The most popular types of R Programming jobs in Huntington, NY are:

What cities near Huntington, NY are hiring for Remote R Programming jobs?

Cities near Huntington, NY with the most Remote R Programming job openings:

Infographic showing various Remote R Programming job openings in Huntington, NY as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,207 per year, or $63.1 per hour.

Staff/Senior Machine Learning Scientist - Forecasting (Open to Remote)

Bertelsmann

Manhattan, NY • On-site, Remote

Full-time

Posted 13 days ago


Job description

Company Description
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.
Job Description
Penguin Random House is the largest trade publishing company in the world. The Data Science team is seeking an experienced Machine Learning Scientist to drive business-critical forecasting products.
We have a mature machine learning practice with strong infrastructure, supported by data warehouse and DevOps partners. We are transitioning to AI-accelerated development and use modern agentic coding tools like Claude Code to speed up how we build and maintain ML systems, with rigorous quality gates including tests, reproducible workflows, and measurable improvements in model performance and reliability. Experience with agentic workflows is a plus, but we prioritize strong fundamentals and the ability to learn new workflows effectively.
This role may be filled at the Senior or Staff level depending on experience and interview performance.
Location: Remote eligible (U.S.), but NYC area preferred.
Specific responsibilities include:
  • Own end-to-end ML systems: scoping, feature engineering, model development, backtesting/validation, deployment (with platform partners), monitoring/alerting, retraining cadence, and ongoing reliability improvements.
  • Create and maintain production-safe evaluation infrastructure: automated backtests, error decomposition, uncertainty quantification, data validation, regression gates, and auditable model/version lineage.
  • Build AI-assisted/agentic development workflows (e.g., Claude Code) to automate repetitive tasks with human review and measurable quality gates.
  • Define success metrics tied to business outcomes; communicate assumptions, limitations, and risk so model outputs are used correctly by stakeholders.
  • Write production-quality, testable code and support reproducible workflows.
  • Partner across functions to translate business needs into a prioritized technical roadmap and measurable impact.
  • Build and improve forecasts across time horizons and business segments (demand, inventory, supply chain, resource allocation), selecting approaches that balance accuracy, stability, interpretability, and operational cost.
  • Productize forecast outputs for stakeholders: clear definitions and assumptions, versioned releases, and reporting that explains what changed, why it changed, and how uncertainty should shape decisions.
  • Feature engineering, uncertainty quantification and calibration, hierarchical/segmented forecasting where appropriate.
  • Partner with operations, supply chain, inventory, finance, and marketing leaders.

Qualifications
Please apply if you meet the following qualifications - Senior level:
  • 5+ years in applied ML/data science, including owning models in production (deployment, monitoring, incident response, retraining)
  • Strong forecasting expertise (time-series methods, feature engineering, rigorous backtesting) OR deep expertise in Bayesian statistical methods and probabilistic programming
  • Strong statistics fundamentals; comfort with probabilistic forecasting and explaining uncertainty in practical terms
  • Strong Python (or R) and SQL; writes production-quality, testable code
  • Strong communication and cross-functional collaboration with non-technical stakeholders
  • Experience using AI-assisted development workflows responsibly (verification loops, reproducibility, automated checks)

Additional expectations - Staff level:
  • 8+ years in applied ML/data science, or PhD with 3+ years of applied experience
  • Experience building ML systems end-to-end (not just models): backtesting frameworks, scheduled retraining, monitoring/alerting, and automated reporting into planning or decision workflows
  • Demonstrated ability to inherit complex systems built by others and make sound architectural decisions with high autonomy
  • Technical leadership: raises the bar on evaluation, reproducibility, and production practices; mentors less-senior team members

Additional Information
Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location.
The salary range for the Senior level is $180,000-$220,000. The salary range for the Staff level is $210,000-$250,000. All positions are currently eligible for an annual profit award or bonus, subject to company results.
Applications for this role will be accepted through September 6, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.
Disclosure requirements pertaining to the collection of your personal data:
Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.
The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.
You can contact the company's Data Protection Officer at the above-mentioned postal address.
Further information on data protection and your rights can be found here.
We value the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
All your information will be kept confidential according to EEO guidelines.
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