Senior Data Scientist - CTJ - TS/SCI

You will acquire the data necessary for your project plan and develop usable data sets for modeling. You'll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers. You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You'll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods. You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You'll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques. You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You'll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations. You will embody our culture and values. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) These requirements include, but are not limited to the following specialized security screenings: Candidates must have an active TS/SCI and be willing and eligible to upgrade to TS/SCI (with polygraph). This role will require candidates to maintain the TS/SCI (with polygraph) clearance. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination. Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Citizenship & Citizenship Verification: This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports United States federal, state, and/or local United States government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.