{"id":2631591,"url":"https://alion.io/job/egen-principal-data-architect-data-science","title":"Principal Data Architect (Data Science)","company":{"id":11725,"name":"Egen","domain":"egen.ai","url":"https://alion.io/company/egen","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T14:49:53Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T02:55:08Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Egen:\nEgen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.\nWant to learn more about life at Egen? Check out these resources in addition to the job description.\nMeet Egen\nLife at Egen\nCulture and Values at Egen\nCareer Development at Egen\nBenefits at Egen\nRESPONSIBILITIES\nData Ingestion: Design and build the pipelines that bring data in for feature engineering and machine learning.\nFeature Engineering: Use your knowledge of healthcare data, statistics, and data science to create features with real predictive power.\nFeature Extraction and Selection: Use techniques like clustering, text analytics, and PCA to find the most useful signals while preserving the meaning in the original data, so models stay accurate and scale well.\nExploratory Data Analysis: Explore the data to find patterns, trends, and relationships, and use what you learn to match features with the right modeling approach.\nModel Development: Experiment with statistical and machine learning methods to build, tune, and optimize predictive models that fit the use case.\nDeployment: Ship production code that 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