Data Scientist Jobs in Washington

Washington, DC's Data Scientist market currently features 13 open roles, with a median midpoint salary of $173,000, reflecting steady demand in a hub for government and consulting-driven analytics. This compact yet competitive landscape underscores opportunities in federal and healthcare sectors, where organizations seek expertise to tackle complex data challenges amid policy and innovation pressures. Leading the hiring charge are Accenture Federal Services, Humana, and Booz Allen Hamilton, each with two openings, signaling robust investment in data-driven decision-making; these firms' activity points to a preference for candidates who can bridge technical prowess with real-world applications in regulated environments, while smaller players like Recruyt and Guidehouse add niche federal consulting roles. Postings emphasize core skills such as Python, machine learning, and SQL, alongside data cleaning, predictive modeling, data visualization, generative models, LLMs, and MLOps, indicating that employers prioritize versatile professionals who can handle end-to-end workflows from raw data processing to deploying AI solutions. For applicants, this means focusing on demonstrable experience in these areas to stand out, as roles demand not just coding but integrated modeling and operationalization skills to support scalable insights. To navigate this market effectively, tailor your application by quantifying achievements in Python and machine learning projects directly tied to predictive or generative outcomes, and target submissions to Accenture Federal Services or Booz Allen Hamilton first, as their multiple openings suggest faster hiring cycles and a clear need for immediate contributors.