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Remote Reddit Data Science Jobs in Washington, DC

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0236797 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245271 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229817 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Data Scientist

Mclean, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0229815 Location: McLean,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a ...

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241528 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist

Arlington, VA · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0245915 Location: Arlington,VA,US Share job via: Share Data Scientist The Opportunity: As an analytics professional, you're excited at the prospect of unlocking the ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0245622 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Data Scientist, Mid

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246335 Location: Arlington,VA,US Share job via: Share Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... for remote work to be determined by the program manager and customer. Essential Functions:

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Bachelor's degree in information technology, computer science, mathematics, or a related field ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

Showing results 41-60

Remote Reddit Data Science information

What is the difference between Remote Reddit Data Science vs Remote Reddit Data Analyst?

AspectRemote Reddit Data ScienceRemote Reddit Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related field; proficiency in data visualization
Work EnvironmentCollaborative teams, research-focused projects, advanced analyticsReporting, dashboard creation, data interpretation
Employer & Industry UsageTech companies, social media platforms, research institutionsMarketing firms, social media companies, analytics agencies
Common Search & ComparisonFocus on predictive modeling and complex data analysisFocus on data reporting and insights generation

Remote Reddit Data Science involves advanced analytics, machine learning, and research-oriented tasks, often requiring specialized degrees. In contrast, Remote Reddit Data Analyst roles focus on interpreting data, creating reports, and visualizations to inform decisions. Both roles are integral in social media and tech industries but differ in complexity and scope.

What skills and qualifications are needed to thrive as a remote Reddit data scientist?

To thrive as a Remote Reddit Data Scientist, you need expertise in statistics, machine learning, and programming languages like Python or R, typically supported by a degree in data science, computer science, or a related field. Familiarity with data analysis tools (such as SQL, Pandas, or Spark), cloud platforms, and experience with Reddit's API or similar social media data sources are commonly required. Strong problem-solving, communication, and the ability to work independently are crucial soft skills in this remote role. These skills are vital for uncovering actionable insights, collaborating effectively across teams, and driving data-driven decision-making in a distributed work environment.

How do remote Reddit data science teams typically collaborate on projects and share insights?

Remote Reddit Data Science teams often rely on a combination of digital collaboration tools, such as Slack, GitHub, and shared dashboards, to communicate findings and coordinate project tasks. Regular virtual meetings and sprint planning sessions help ensure alignment and transparency across team members. Since data scientists often work across product, engineering, and community teams, strong documentation and asynchronous updates are crucial for keeping everyone informed and driving projects forward. This collaborative structure allows team members to contribute insights, review code, and iterate on models efficiently, even when working from different locations.

What does a remote Reddit data scientist do?

A Remote Reddit Data Science job typically involves analyzing large sets of data from Reddit to uncover patterns, trends, and insights. Data scientists in this role may work on natural language processing, sentiment analysis, user behavior modeling, and content recommendation systems. They use programming languages like Python or R, as well as tools such as SQL, to gather and interpret Reddit data. The role often requires collaboration with other remote team members, communication of findings to stakeholders, and the ability to work independently. This position is ideal for those interested in social media analytics and remote work flexibility.
What are the most commonly searched types of Reddit Data Science jobs in Washington, DC? The most popular types of Reddit Data Science jobs in Washington, DC are:
What job categories do people searching Remote Reddit Data Science jobs in Washington, DC look for? The top searched job categories for Remote Reddit Data Science jobs in Washington, DC are:
Infographic showing various Remote Reddit Data Science job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Senior Data Scientist II - Health Care Analytics - Chicago, DC or Remote

NORC at the University of Chicago

Washington, DC • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Senior Data Scientist II - Health Care Analytics - Chicago, DC or Remote

Apply now Job no: 503779 Work type: Regular Full-Time Location: Washington, DC, Remote Capability Area: Health Care Evaluation

JOB SUMMARY:

The Health Care Evaluation Research Department at NORC seeks a Senior Data Scientist II.  In this role, the Senior Data Scientist II will lead analytic work using large administrative and claims-based data to support the implementation, evaluation, and ongoing monitoring of CMS Innovation Center (CMMI) models, Medicare and Medicaid programs, and related payment and delivery system reforms. The position emphasizes technical leadership, analytic execution, and deep familiarity with CMS data systems, and includes mentoring data analysts and data scientists while collaborating closely with other project leaders, policy researchers, economists, and methodologists.

At NORC, you will work alongside nationally recognized experts supporting some of the most significant health care reforms in the country. This role offers the opportunity to apply deep technical expertise to CMS Innovation Center models and Medicaid initiatives, lead analytic contributions to new business efforts, manage complex workstreams, and mentor others within a mission-driven, nonpartisan research organization.

The Data Science job family exists across multiple departments at NORC and provides advanced analytical expertise for a portfolio of research and evaluation projects. The Senior Data Scientist II (SDS II) plays a strategic, hands-on role in delivering high-quality analytics for complex health care initiatives by leading large-scale data efforts, providing technical leadership to multidisciplinary teams, establishing resources and best practices for health care data work across NORC, and taking leadership on relevant business development initiatives.

Work Location

NORC supports hybrid work arrangements for this position in either our Washington, DC or Chicago, IL offices. Remote work status may be considered for outstanding candidates. Occasional travel may be required based on project needs and client meetings.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

DEPARTMENT:  Health Care Evaluation Research

NORC's Health Care Evaluation Research department conducts advanced analytics and evaluations for Medicare, Medicaid, and commercial insurance programs. NORC's health work supports the implementation, monitoring, and evaluation of health care payment and delivery reforms, with a particular emphasis on CMS Innovation Center (CMMI) models, state Medicaid demonstrations, and other federal health projects across Health and Human Services, states, and foundations.

RESPONSIBILITIES:
  • Lead advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms.
  • Lead projects and manage major project workstreams including but not limited to advanced analytic work supporting the implementation, evaluation, and monitoring of CMS Innovation Center (CMMI) models, including alternative payment models and delivery system reforms.
  • Apply claims-based and administrative data to assess program operations, utilization, quality, access, and cost across Medicare, Medicaid, and commercial populations.
  • Lead analyses using Medicaid T-MSIS (including TAF), state Medicaid claims and encounter data, Medicare fee-for-service claims, Medicare Advantage encounter data, and Medicare Part D prescription drug data.
  • Access and analyze data in CMS secure data environments, including CCW/VRDC and, as appropriate, Model Space, IDR, and other CMS data platforms.
  • Lead data acquisition, ingestion, cleaning, transformation, linkage, and harmonization for large and complex health care datasets.
  • Develop and implement quality assurance protocols, documentation standards, and reproducible analytic workflows.
  • Serve as a technical lead and mentor to data analysts and data scientists.
  • Lead or co-lead analytic and data-focused components of business development efforts, including proposal writing and capture discussions.
REQUIRED SKILLS:
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Public Health, or a related field.
  • At least 9 years of relevant experience (or 12 years with a Bachelor's degree) in positions of increasing responsibility involving large-scale data analysis and statistical modeling.
  • Demonstrated experience leading project teams or teams conducting substantial work streams on larger projects.
  • Demonstrated experience working with Medicare and/or Medicaid administrative or claims data.
  • Experience accessing and analyzing CMS data through the Chronic Conditions Warehouse (CCW) / Virtual Research Data Center (VRDC).
  • Demonstrated ability to lead complex analytic work, mentor technical staff, and communicate results to technical and non-technical audiences.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Strongly Preferred Qualifications:

  • Master's degree or higher in a relevant field.
  • Experience supporting CMS Innovation Center (CMMI) model implementation, monitoring, or evaluation.
  • Experience working with CMS data environments, including Model Space and the Integrated Data Repository (IDR).
  • Hands-on experience with T-MSIS/TAF, state Medicaid claims and encounter data, Medicare Advantage encounter data, and Medicare Part D prescription drug data.
  • Proficiency with SAS, SQL, R, and/or Python, and experience working in modern data warehouse or data lake environments.
  • Experience leading or contributing to technical proposal writing for federal health care analytics or evaluation work.
SALARY AND BENEFITS:

The pay range for this position is $160,000 - $190,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs. This role is bonus eligible.  Bonus payment is contingent upon program terms and individual performance.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

Advertised: June 26, 2026 Eastern Daylight Time Applications close:

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