Sr Data Scientist

The Computer Merchant, LTD.

(remote)

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JOB DETAILS

SALARY

$72–$76 Per Hour

JOB TYPE

Temporary, Contractor, Full-time

SKILLS

Academic Research, Algorithms, Analysis Skills, Antitrust, Artificial Intelligence (AI), Best Practices, Big Data, Black Box Testing, Cloud Computing, Communication Skills, Computer Science, Customer/Client Research, Data Processing, Data Science, Data Sets, Data Storage, Data Visualization, Data Visualization Tools, Economic Analysis, FISMA - Federal Information Security Management Act, Federal Laws and Regulations, Financial Analysis, Forecasting, Forensic Accounting, Government, Healthcare, Information Science, Information Technology & Information Systems, Legal, Machine Learning, Management Strategy, Mathematics, Mentoring, Microsoft Windows Azure, Open Source, Presentation/Verbal Skills, Pricing, Problem Solving Skills, Project Execution, Project Planning, Python Programming/Scripting Language, R Programming Language, Regulations, SQL (Structured Query Language), State Laws and Regulations, Statistical Analysis System (SAS), Statistics, Tableau, Training Data Sets, U.S. National Institute of Standards and Technology (NIST), United States Citizen, Writing Skills

POSTED

24 days ago

JOB TITLE: SR DATA SCIENTIST
JOB LOCATION: REMOTE, WASHINTON DC
WAGE RANGE*: 72.00-76.00 PER HOUR
JOB NUMBER: SAIJP00038728

***Requires US Citizenship***

REQUIRED EXPERIENCE:

Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience
Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL
Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.)
Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data
Expertise with data visualization tools (e.g. Tableau, Matplotlib)
Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents)
Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance
Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges
Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential
Familiarity with FISMA/NIST/Zero Trust security frameworks
Current Principal Data Scientist (PDS) Certification

JOB DESCRIPTION

Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs.

Requirements:

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 crisp exhibits and memos that explain methods, limitations, and uncertainty
Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science
Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders
Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings
Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results
Mentor teammates on best practices
Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects

Preferred:

Experience with Spark/Databricks.
Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus.
Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions)
Contribution to open-source projects or participation in relevant data science communities.

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

About the Company

The Computer Merchant, LTD.

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