> Markdown version of [/jobs/ext/4618214-812182-data-scientist-235-000-00](https://www.wearedevelopers.com/jobs/ext/4618214-812182-data-scientist-235-000-00). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 812182 Data Scientist $235,000.00 - **Company:** B4Corp - **Location:** Bethesda, MD, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Big Data, Data Cleansing, Extract Transform Load (ETL), Statistical Hypothesis Testing, Machine Learning, Natural Language Processing, Data Server Interface, Restful APIs - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25197_a218c67b07fdb27f62a189631206fd9a ## About the Role * Developmental (0-2 years' experience) * Full Performance (3-5 years' experience) * Senior (6-10 years' experience) * Expert (11-15 years' experience) * SME (16+ years' experience) ## Description Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. This role ensures high quality data is available for use by other team members. This role designs, implements, and maintains standard data interfaces for data ingest including Extract/Transform/Load (ETL) methodology and implementation, APIs, RESTful Web Services, data quality, and data cleansing. This role collaborates across a team of Data Scientists, Data Engineers, and Data Administrators to produce work products. This role designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including "big data" sources. This role develops and uses advanced software programs, algorithms, query techniques, models complex business problems, and automated processes to cleanse, integrate, and evaluate datasets. This role analyzes the requirements and evaluates technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis and hypothesis testing. Works with cross-discipline teams to ensure connectivity between various data sources and business problems. Identifies meaningful insights and interprets and communicates findings and recommendations. This role develops information tools, algorithms, dashboards, and queries to monitor and improve business performance. Maintains awareness of emerging analytics and big-data technologies.