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Weekend Data Science R Jobs in Putnam Valley, NY

Customer Operations

Data Insights Analyst

Stamford, CT · On-site +1

Bachelor's degree in Statistics, Finance, Data Science, Computer Science, Engineering or related ... Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Visualization: Fluency in contemporary data visualization methods like R Shiny, D3 * Data ... Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's Degree from an ...

Deloitte

AI Solutions Architect - Life Sciences

Stamford, CT · Hybrid

$67.25 - $88.50/hr

Work You'll Do As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of AI solutions for client engagements. * Lead small ...

New York Medical College

Data Analyst

Valhalla, NY · On-site

$40/hr

... Computer Science, Economics, or related fields. * Experience in statistical analysis and data manipulation. * Proficiency in statistical software such as Stata, SAS, R, and SPSS. * Effective ...

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All JobsData Science R JobsWeekend Data Science R JobsWeekend Data Science R Jobs in Putnam Valley, NY

Weekend Data Science R information

See Putnam Valley, NY salary details

$39.2K

$128.3K

$205.4K

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

As of Jul 14, 2026, the average yearly pay for weekend data science r in Putnam Valley, NY is $128,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,900.00 and $142,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
Weekend Data Science R jobs near you
Sr Manager, Data Science & Advanced Analytics

Sr Manager, Data Science & Advanced Analytics

Philip Morris International

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

Sr Manager, Data Science & Advanced Analytics - Stamford, CT
Be a part of a revolutionary change!
At Philip Morris International (PMI), we've chosen to do something incredible. We're totally transforming our business and building our future on one clear purpose - to deliver a smoke-free future.
With huge change, comes huge opportunity. So, if you join us, you'll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress.
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC. (Only Include if position is based in Stamford)
Your 'day to day':
  • Develop and execute analytics strategies aligned with business objectives.
  • Lead design and delivery of advanced analytics initiatives, including predictive modeling, segmentation, and optimization.
  • Build and maintain automated reporting and data pipelines using tools such as Power BI, Tableau, and Snowflake.
  • Apply statistical and machine learning techniques to extract insights from structured and unstructured data.
  • Ensure data quality, integrity, and security across analytics processes translating raw data into useable data.
  • Translate complex analytics into actionable insights for commercial, sales, and operations teams.
  • Drive adoption of best practices and innovative methodologies across analytics teams.

Who we're looking for:
  • Legally authorized to work in the U.S.
  • Commutable distance to Stamford, CT.
  • Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
  • 10+ years in data analytics/data science, including 5+ years in leadership roles within CPG or regulated industries.
  • Advanced proficiency in SQL, Python, R, and BI tools (Power BI, Tableau).
  • Proven experience with syndicated market data, retailer scan/loyalty data, and CPG analytics use cases.
  • Demonstrated success in managing multiple analytics projects and cross-functional stakeholders.
  • Strong communication skills for presenting complex data to non-technical audiences.
  • Relevant certifications (e.g., AI/ML, PMP) preferred.

What we offer:
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

Relevant Open Sourcing Considerations:
  • Be legally authorized to work in the US
  • International relocation support is not available for this job
  • If you have been in your current job for less than 12 months or if you are on a Performance Improvement Program, you must get the approval of your current manager before applying for the job.
  • If you are not a PMI employee and employed by a third an agency, please make a formal application via the external career site at https://join.pmicareers.com/
  • To find out more about eligibility to apply for internal jobs, please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.

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