ZipRecruiter

Log In

2

Senior Remote Data Science Jobs in Washington (NOW HIRING)

Maximus

Data Science Manager

VA · On-site +1

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments ... senior leadership team. - Assist in compiling, creating, and managing reporting. - Drive team ...

Gartner

Director, Data Science

Arlington, VA · Remote

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Gartner

Director, Data Science

Arlington, VA · Remote

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

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

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

Senior Data Scientist PAY RANGE: $150,000 - $200,000 LOCATION: McLean, VA JOB SUMMARY : Are you ... science, and data analytics to detect, track, locate, and characterize remote sensing targets.

RapidSoft Corp

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

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

next page

Showing results 1-20

All JobsSenior Remote Data Science JobsSenior Remote Data Science Jobs in Washington

Senior Remote Data Science information

Is 40 too late for data science?

Age is not a barrier to becoming a senior remote data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant certifications, programming skills, and domain knowledge, making age less relevant than technical competence and adaptability.

What is the 80 20 rule in data science?

In data science, the 80/20 rule suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often focus on the most impactful variables or tasks to optimize model performance and efficiency.

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

AspectSenior Remote Data ScienceData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with programming languages like Python or RBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often involved in complex modeling and predictive analyticsRemote or on-site, focused on data reporting, cleaning, and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Senior Remote Data Science roles typically require advanced technical skills and involve complex modeling, whereas Data Analysts focus on data reporting and visualization. Both roles can be remote and are used across various industries, but Data Analysts generally have less emphasis on machine learning and predictive modeling.

Can a data scientist work fully remote?

Yes, many data scientist roles are fully remote, especially in companies that prioritize flexible work arrangements. Remote work for data scientists often requires strong communication skills, proficiency with collaboration tools, and the ability to work independently while managing data analysis, modeling, and reporting tasks remotely.

How to make $100,000 a year working from home?

A senior remote data scientist can earn $100,000 or more annually by gaining advanced skills in machine learning, data analysis, and programming languages like Python or R. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
What are popular job titles related to Senior Remote Data Science jobs in Washington? For Senior Remote Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Senior Remote Data Science jobs in Washington look for? The top searched job categories for Senior Remote Data Science jobs in Washington are:
What cities in Washington are hiring for Senior Remote Data Science jobs? Cities in Washington with the most Senior Remote Data Science job openings:
Senior Remote Data Science jobs near you
Infographic showing various Senior Remote Data Science job openings in Washington as of June 2026, with employment types broken down into 3% Internship, 87% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
Sr Data Scientist with Security Clearance

Sr Data Scientist with Security Clearance

System One Holdings, LLC

Washington, DC • Remote

$68.66/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Sr Data Scientist
Type: Contract
Compensation: $68.66
Remote – offsite
Security Clearance: PUBLIC TRUST (Must be a US Citizen) Overview
Sr. Data Scientist | Remote | $68.66/hr | Public Trust Required Join a high-impact team leveraging advanced data science, AI/ML, and cloud technologies to solve complex research challenges. This role is ideal for an experienced Data Scientist with strong Python, SQL, machine learning, and statistical modeling expertise who enjoys turning large, complex datasets into actionable insights. You'll work closely with stakeholders, build scalable analytics solutions, and help drive data-informed decision-making in a fully remote environment. Remote
$68.66/hr
Public Trust Required (US Citizens Only)
Azure, Databricks & LLM Experience Preferred
Master's Required | PhD Preferred
PDS Certification Required Responsibilities
Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution
Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets
Build transparent, reproducible pipelines and analysis environments in cloud infrastructures
Produce exhibits and memos explaining methods, limitations, and uncertainty
Apply advanced statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science
Create compelling data visualizations and reports for both technical and non-technical stakeholders
Support econometric/causal inference workstreams, translating questions into testable hypotheses and clear findings
Design and execute rigorous studies including difference-in-differences, panel models, instrumental variables, time series, etc.
Mentor teammates on best practices in data science
Stay updated on academic research and industry advancements in data science, AI, and information systems Requirements
Master’s degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience
Proficiency in Python or R, and statistical tools such as Stata, SAS, with strong SQL skills
Expertise with ML algorithms including model selection, evaluation, and feature engineering
Experience applying AI and machine learning to structured and unstructured data for insights and performance optimization
Proficiency with data visualization tools such as Tableau, Matplotlib
Experience processing large datasets and deploying LLMs in cloud platforms (e.g., Azure ADLS/Databricks/Azure ML)
Knowledge of LLMs (e.g., Claude Code, ChatGPT), including tradeoffs in capabilities, cost, and performance
Strong problem-solving skills and critical thinking for complex research challenges
Exceptional communication skills, emphasizing rigor, clarity, and defensibility in analyses
Familiarity with FISMA/NIST/Zero Trust frameworks
Current Principal Data Scientist (PDS) Certification

Apply