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Data Scientist R Remote Jobs in Washington, DC (NOW HIRING)

This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one ... High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document ...

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

This position is fully remote. Analytica has been recognized by Inc. for 3 consecutive years as one ... High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document ...

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Location Fully remote within the USA, with travel once or twice a year for retreats and conferences ... of Data Science (45 minutes) 3. Data Case - to be completed the week of final interview and ...

... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ... This role, requires working with a team of developers, data scientists, SMEs, and cyber analysts to ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Data Scientist Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: TS.SCI ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.

We are hiring a Sr. Data Scientist to work in Linthicum Heights, MD . Position location is subject ... MATLAB or R * SQL or Mongodb * Metric Database (Grafana/Graphite/InfluxDB) Themis Insight has all ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis.

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

Overview Senior Data Scientists at Excella leverage advanced statistical, machine learning, and ... Qualifications: * 5+ years of experience in predictive analytics using tools like Python, R, or ...

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Data Scientist R Remote information

See Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of Jul 13, 2026, the average yearly pay for data scientist r remote in Washington, DC is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What are Data Scientist R Remote jobs?

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.

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 are the key skills and qualifications needed to thrive as a Data Scientist (R, Remote), and why are they important?

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.

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.

What are popular job titles related to Data Scientist R Remote jobs in Washington, DC? For Data Scientist R Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Washington, DC look for? The top searched job categories for Data Scientist R Remote jobs in Washington, DC are:
Data Scientist - NLP

Data Scientist - NLP

Analytica

Washington, DC • On-site, Remote

Full-time

Medical, Retirement

Posted 21 days ago


Job description

Analytica is seeking a Data Scientist to support long term federal client engagements projects in the DC Metro area. The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems.
This position is fully remote.
Analytica has been recognized by Inc. for 3 consecutive years as one of the 250 fastest growing business. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.
Responsibilities include:
  • Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using Python. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
  • Feature Engineering and Attribute Evaluation - Candidate must demonstrate experience with NLP feature engineering methods such as TF-IDF, word2vec, GloVe, and FastText identifying the key determinants for modeling that exist in the business process and within existing data sets as well as selecting evaluation protocols (model techniques).
  • Modeling - Candidates will have practiced skills and experience selecting classification modeling techniques to fit the business problem. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
  • Validation - Strong candidates will describe their experience with investigating, reporting, and justifying model results.
  • Visualization- Experience in presenting the results of their modeling activities, depicting the insights realized, and explaining the relevance of their results to the organization's business challenges.
Qualifications:
  • Master's degree required, and PhD preferred in Statistics, Mathematics, Computer Science, or similar
  • High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling
  • At least four years of experience developing scalable, production-ready NLP solutions using sci-kit learn, Keras, TensorFlow, PyTorch, Spark NLP.
  • Experience using git/github to version control source code
  • Experience leveraging transformer architecture to develop NLP models
  • Experience with open source NLP packages such as Gensim, SpaCy, or NLTK.
  • Experience with BERT, GPT-J, RoBERTa, T5 or other transformers
  • Experience with GenAI and Prompt Engineering is a plus
  • Experience in Databricks and MLFlow is a plus
  • Experience with machine translation and transcription of foreign language documents using Microsoft Azure translation services is a plus
  • Experience working in an AWS cloud environment and with related AWS services such as Bedrock and Textract
  • Experience coordinating and maintaining user stories
  • Must be a US citizen
  • Must be able to obtain and maintain a Public trust security clearance

AboutANALYTICA:Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an establishedSBA small businessthat hasbeen recognized byInc. Magazineeach of the past three years as one of the 250 fastest-growingcompanies in theU.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services.The companyis appraised by theSoftware Engineering Institute (SEI) atCMMI® Maturity Level 3and is anISO 9001:2008 certifiedprovider.
Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.
To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.
  • Application Review: AI tools may help identify skills and experiences relevant to the role.
  • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.

These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.
By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.
When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.