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Data Scientist R Remote Jobs (NOW HIRING)

ActioNet, Inc.

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Strong skills in Python, R, and SQL. * Proficient in handling large-scale data projects involving ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

As a Data Scientist, you will be working with our engineering team to model complex problems and ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

DecisionPoint | Cortek

Data Scientist

This position is fully remote. Duties & Responsibilities The Data Scientist will: * Build machine ... Proficiency with Python, R, or similar languages used for statistics and machine learning. * Strong ...

ActioNet

Sr. Data Scientist

Description Senior Data Scientist Remote, United States Description ActioNet has an exciting ... Strong skills in Python, R, and SQL. * Proficient in handling large-scale data projects involving ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$216K/yr

Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: * PhD in a ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

AIS Inc

Data Scientist

Miami, FL · Remote

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

AIS Inc

Data Scientist

Miami, FL · On-site +1

Proficiency in programming languages such as Python or R * Experience working with large datasets ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Victory

Data Scientist

Austin, TX · On-site +1

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245950 Location: Washington,DC,US Share job via: Share Data Scientist ... You Have: * Experience using data science programming languages such as Python, R, or SQL

Victory

Data Scientist

Austin, TX · On-site +1

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

ALIS Software LLC

Data Scientist

Data Scientist: 6+ years of applied data science experience ... Advanced proficiency in Python and/or R and SQL. Demonstrated experience deploying analytical ...

Eastport Analytics, Inc

Data Scientist

Washington, DC · On-site +1

$103K - $120K/yr

Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R ... Remote position requiring availability to collaborate during core business hours (9:00 AM - 5:00 PM ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Booz Allen Hamilton

Data Scientist

... with R or Python • Experience using scientific methods to inform qualitative and quantitative ... data gathering, cleansing, and parsing • Experience developing and applying optimization and ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist II (Remote) Date Tuesday, August 4, 2026 City ... R Shiny. -Demonstrated advanced research proficiency through relevant employment in academia or ...

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Data Scientist R Remote information

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$122.7K

$196.5K

How much do data scientist r remote jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data scientist r remote in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a data scientist R remote?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

What are the key skills and qualifications needed to thrive as a data scientist R remote?

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

How does a remote data scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

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Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr. Data Scientist

ActioNet, Inc.

Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Description

Senior Data Scientist

Remote, United States

Description

ActioNet has an exciting opportunity for a Senior Data Scientist to join our team to lead digital transformation projects to develop and implement future mission-critical enterprise data analytics and production systems for the nation's premiere source of statistical data products.

The Senior Data Scientist will provide full lifecycle data management including the design of highly scalable cloud-native architectures to support automated dynamic data collection, integration, storage, transformation, harmonization, analysis, reporting and dissemination needs. This includes providing advanced subject matter expertise in AI/ML, data modeling, statistics, and data privacy protection. This role demands expertise in Python and involves building complex pipelines from scratch, managing data flow within the AWS ecosystem, and conducting rigorous testing to ensure accuracy and completeness, consistency, and quality of all outputs. This position requires a leader, innovator and problem-solver with solid data science, statistical, and programming experience. This position also requires experience developing and designing new projects and solutions, coordinating projects between multiple teams with many stakeholders in a pro-active, enthusiastic communication style.

This position is REMOTE.  

Federal position requires Public Trust.  Candidates must be US Citizens to be eligible. 


Responsibilities: 

  • Serve as the technical authority for enterprise and solution-level data architecture, guiding the design and modernization of complex application ecosystems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored data solutions.
  • Assess legacy and on-premises data environments and define cloud migration and modernization strategies including rehost, re-platform, refactor, and cloud-native redesign
  • Define target-state data architectures that support front-end applications, API platforms, enterprise databases, queueing systems, scalable computation engines, and analytical services.
  • Develop efficient data processing and transformation workflows to support analytics and reporting needs. Define architectures for computation engines that execute Python-based analytical workloads and large-scale data processing.
  • Architect data platforms integrating RDBMS and cloud-native object storage for large-scale transactional and analytical workloads and secure AWS-based data infrastructure leveraging EMR, Apache Spark, and PySpark.
  • Lead the architectural design of microservices-based data platforms emphasizing API-first integration, loose coupling, stateless and stateful service separation, and elastic scalability.
  • Lead testing, evaluation, and presentation of technological and/or methodological alternatives and recommend improvements.
  • Implement processes for data cleaning, transformation, and validation to ensure data accuracy, consistency, and compliance with security and privacy policies.
  • Design, build, and maintain data pipelines and automated extract, transform, load (ETL)  processes using tools like Python, R, and platformspecific environments such as Jupyter Notebooks.
  • Integrate disparate structured and unstructured data from APIs, databases, and cloud storage into unified datasets utilizing ETL patterns, frameworks, query techniques.
  • Develop dashboards, visualizations, and analytical products to support operational decisionmaking.
  • Develop metrics to evaluate statistical accuracy and code performance.
  • Optimize code through advanced algorithmic concepts to facilitate more efficiency.
  • Provide full lifecycle assistance in deploying, optimizing, maintaining complex code with data processing routines running in development, test, and production.

Requirements:

  • 5+ years of experience as a Data Scientist, Data Engineer, Backend Software Engineer, or similar.
  • Bachelor's degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or related field.
  • Strong skills in Python, R, and SQL.
  • Proficient in handling large-scale data projects involving data integration, cleaning, ETL, analysis, aggregation, tabulation, and reporting.
  • Experience with data privacy protection and related statistical methodologies is a plus.
  • Experience developing and implementing data reliability, efficiency, and quality checks and processes.
  • Experience leveraging AWS services (e.g., S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker, QuickSight) to build and deploy data solutions in a cloud-native environment.
  • Experience with structured and unstructured databases (such as Oracle, PostGreSQL, MySQL, Athena, Redshift, MongoDB etc).
  • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe.
  • Experience with GitHub, Subversion, or other source control systems.
  • Experience managing, testing, and deploying software components within SDLC.
  • Knowledge of DevOps practices and tools (e.g., Jenkins, GitLab CI/CD).
  • Excellent communication and teamwork skills.
  • Demonstrated understanding of project management, schedules, and how to estimate the level of effort for development tasks.
  • Experience evaluating proposed systems and recommending improvements; Strong skills preparing and presenting design/architectural documents to clients.
  • Requires a Public Trust - must be US Citizen to be eligible. 

Preferred Qualifications:

  • Experience with and interest in AI/ML, statistics, data modeling, and advanced math highly preferred.
  • Experience with SAS, Apache Spark, PySpark preferred.
  • Experience with Optimization Theory or Gurobi model development preferred, but not required.
  • Experience with data platforms such as Cube, Athena, Redshift, Databricks, Palantir, Snowflake, Google BigQuery.
  • Familiarity with distributed high-performance computing (HPC) and parallel processing.
  • Familiarity with demographic, economic, longitudinal, and geospatial data sources and structures.
  • Experience with microservices architecture and containerization (e.g., Docker, Ansible, Kubernetes).
ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. With 25+ years of stellar past performance, ActioNet is the premier Trusted Innogrator!
Core Capabilities:
  • Advanced and Managed IT Services
  • Agile Software Development
  • DevSecOps
  • Cybersecurity
  • Health IT
  • C4ISR & SIGINT
  • Data Center Engineering & Operations
  • Engineering & Installation
Why ActioNet?
At ActioNet, our Passion for Quality is at the heart of everything we do:
  • Commitment to Employees: We are committed to making ActioNet a great place to work and continue to invest in our ActioNeters.
  • Commitment to Customers: We are committed to our customers by driving and sustaining Service Delivery Excellence.
  • Commitment to Community: We are committed to giving back to our community, helping others, and making the world a better place for our next generation. 
ActioNet is proud to be named a Top Workplace for the eleventh year in a row (2014 - 2024). We have a 98% customer retention rate. We are passionate about the inspirational missions of our customers, and we entrust our employees and teams to deliver exceptional performance to enable the safety, security, health, and well-being of our nation.
What's in It For You?
As an ActioNeter, you get to be part of an exceptional team and a corporate culture that nurtures mutual success for our customers, employees, and communities. We give you the tools to be successful; all you need to do is bring your best ideas, your energy, and a desire to develop your skills, experience, and career. Are you ready to make a difference?
ActioNet is an equal-opportunity employer and values diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-Time Employees are eligible to participate in our ActioNet's Benefits Program:
  • Medical Insurance
  • Vision Insurance
  • Dental Insurance
  • Life and AD&D Insurance
  • 401(k) Savings Plan
  • Education and Professional Training
  • Flexible Spending Accounts (FSA)
  • Employee Referral and Merit Recognition Programs
  • Employee Assistance and Identity Theft Protection
  • Paid Holidays: 11 per year
  • Paid Time Off (PTO)
  • Disability Insurance
 

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