Sr Data Scientist
Washington, DC
Experience: 5
Education: MBA, MS
Category: Information Technology
Contractor Work Model: Remote
Brand: System One
Compensation Range: 160000.00 Per Hour
Job ID: 349576
Date Posted: 06/01/2026
Shortcut: http://jobs.systemone.com/0d6gmY
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
System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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