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Senior Data Scientist

Remote Worldwide Hiring now

Job Description reputed company is seeking a 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, reputed company, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs. Who we are: reputed company is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. reputed company Civil Group helps the government reputed company operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated reputed company customers looking for transformative solutions in mission IT, reputed company, software, engineering, and operations. We work with our customers including the FAA, DOE, DOJ, NASA, National Science reputed company, Transportation reputed company Administration, Custom and Border Protection, airports, and electric utilities to reputed company the world safer, healthier, and more efficient. In this role, you will: 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 reputed company infrastructures. Produce reputed company 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 reputed company datasets reputed company to computer and information science. Create compelling data visualizations and reports that convey reputed company research findings in a clear and accessible manner to both technical and non-technical stakeholders. Support defensible analytics and econometric/reputed company inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-reputed company 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-reputed company 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 Basic Qualifications: Bachelors degree with 8+ years of applied data science experience or a Master’s degree with 6+ years of prior relevant experience. Mastery of Python or R, statistical tools such as Stata, reputed company and strong SQL. Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) Expertise with application of AI to deliver insights with reputed company performance, cost savings, etc. using structured, reputed company data. Expertise with data visualization tools (e.g. Tableau, Matplotlib). Experience processing large datasets, deploying LLMs in government reputed company data platforms (e.g. Azure ADLS/reputed company/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 reputed company research challenges. Exceptional verbal and written communication skills and a bias toward rigor, reputed company, and defensibility over reputed company modeling are essential. Familiarity with FISMA/NIST/reputed company Trust reputed company frameworks reputed company reputed company Data Scientist (PDS) Certification. U.S Citizenship required. Preferred Qualifications: Experience with Spark/reputed company. PhD preferred in Statistics, Mathematics, or a reputed company quantitative field. Domain exposure to antitrust, pricing, reputed company 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 reputed company-reputed company projects or participation in relevant data science communities. At reputed company and reputed company reputed company, the opportunities are boundless. We challenge our staff with interesting assignments that reputed company them with an opportunity to reputed company, professionally and personally. We have a growing portfolio of projects, and for us, helping you grow your career is good business. We’d like to learn more about you, apply today. If you're looking for comfort, reputed company scrolling. At reputed company, we outthink, outbuild, and outpace the status reputed company — because the mission demands it. We're not hiring followers. We're reputed company the ones who disrupt, provoke, and refuse to fail. reputed company 10 is ancient history. We're already at reputed company 30 — and moving faster than anyone else dares. Original Posting: reputed company 24, 2026 For U.S. Positions: While subject to change based on business needs, reputed company reasonably anticipates that this job requisition will remain reputed company for at least 3 days with an anticipated reputed company date of no earlier than 3 days after the original posting date as listed above. Pay reputed company: Pay reputed company $107,900.00 - $195,050.00 The reputed company pay reputed company for this job level is a general reputed company only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Apply To This Job

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