{"id":816408,"url":"https://alion.io/job/sixgen-data-scientist-tssci-w-poly","title":"Data Scientist (TS/SCI w/ Poly)","company":{"id":686212,"name":"SIXGEN","domain":"sixgen.io","url":"https://alion.io/company/sixgen","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":80,"open_postings":20,"ghost_share":0.25,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":84,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbia, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"MySQL","optional":false},{"name":"Neo4j","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-05-07T15:41:18Z","employer_posted_date":"2026-05-29","last_verified_at":"2026-10-29T06:01:14Z","board_verified":true,"closed_at":null,"days_open":174,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":174},"description":"SIXGEN’s mission is to deliver agile, mission-ready cybersecurity solutions that empower government and critical infrastructure organizations to stay ahead of advanced cyber threats. We combine innovation, deep expertise, and cutting-edge capabilities to uncover vulnerabilities, protect vital systems, and ensure operational superiority in an ever-evolving digital landscape.\nPOSITION OVERVIEW\nPosition: Senior Data Scientist\nJob Type: Full-time\nLocation: Onsite, Ft. Meade, MD\nClearance Requirements: Active TS/SCI with Polygraph required\nWork Schedule: 5 days per week onsite\nTravel Requirements: None\nExperience: 4+ years\nWHAT YOU'LL DO\nSIXGEN supports missions by serving government and commercial organizations as they overcome global cybersecurity challenges. In this position, you’ll provide meaningful support to our customer’s missions and operations. You’ll work alongside a team of highly skilled operators who are dedicated to using innovative processes, tools, and techniques to get things done. \nKEY RESPONSIBILITIES \nDevelop, and maintain robust and scalable data pipelines for enterprise AI applications including \ndefining appropriate data model concepts\nDevelop high-performance data parsers for extremely large and complex datasets \nImplement and manage various database systems, including graph, SQL, NoSQL, and vector \ndatabases \nCollaborate with AI/ML engineers and data scientists to understand data requirements and optimize \ndata access and retrieval for AI models \nEnsure data quality, integrity, and security across all data storage solutions \nSupport the deployment and maintenance of AI applications by providing expert data engineering \ncapabilities \nFamiliarity with AI concepts in the context of data storage, access, and retrieval \nContinuously optimize data infrastructure for performance, cost-efficiency, and scalability \nREQUIRED QUALIFICATIONS \nBachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree \nAdvanced proficiency in programming languages commonly used for data engineering (e.g., Python, \nJava, Scala) \nDemonstrated expertise in designing, developing, and optimizing data pipelines for large-scale \nenterprise environments \nProven experience with corporate dataflows and developing data parsers for extremely large datasets \nExtensive experience with various database technologies including graph databases (e.g., Neo4j), \nSQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and \nvector databases \nFamiliarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing \nActive TS/SCI clearance with Polygraph\nDESIRED QUALIFICATIONS \nExperience with data governance, data security, and compliance best practices \nFamiliarity with big data technologies such as Hadoop, Spark, or Kafka. \nExperience with data warehousing concepts and tools \nContinuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements \nCOMPENSATION & BENEFITS\n$180,000-$220,000 USD\nThe salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Additionally, SIXGEN offers top-tier benefits for full-time employees, including:\nEmployer-paid health insurance premiums (medical, dental, vision) for you and your family \nEmployer-paid short/long term disability insurance and basic life/AD&D insurance\n401K with a 4% employer contribution\nProfessional development reimbursement options available (training, certification, education, etc)\nFlexible and remote work policies for most positions\nFlexible PTO and holiday schedule\nOUR COMMITMENT\nSIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.\nWe are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. 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