{"id":2380301,"url":"https://alion.io/job/analytica-data-scientist-analytica","title":"Data Scientist - Analytica","company":{"id":4418646,"name":"Analytica","domain":"analytica.net","url":"https://alion.io/company/analytica-4","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":208000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-12T19:13:13Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-13T17:12:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Analytica is seeking a Data Scientist to lead the design and implementation of advanced statistical and AI/ML solutions supporting product safety analytics initiatives. This role focuses on extracting actionable insights, evaluating model performance, and applying semantic analysis techniques to enhance data-driven decision-making.\nThe ideal candidate will bring an innovative mindset and experience working in modern cloud environments to improve efficiency, scalability, and interpretability of AI solutions. This work supports the strategic vision to accelerate toward an AI-powered product safety Sentinel model-protecting more consumers, faster, from more hazards by leveraging analytics to shorten time to intervention.\nAnalytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. We offer competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.\nResponsibilities include (but are not limited to):\nInsight Extraction & Semantic Analysis\nApply semantic coding and analysis techniques to uncover patterns and thematic insights from structured and unstructured data\nTranslate complex analytical findings into clear, actionable insights using data storytelling and visualization techniques\nSupport decision-making through development of interpretable and explainable analytics outputs\n Model Development & EvaluationDesign, implement, and maintain AI/ML models including: Product similarity models\nSupervised and unsupervised learning approaches\nModels for anomaly detection, classification, regression, and pattern recognition\n\nEvaluate models using robust performance metrics (e.g., precision, recall, F1-score, AUC) to ensure accuracy, reliability, and fairness\nContinuously improve model performance through testing, validation, and tuning\n Innovation & EfficiencyExplore emerging technologies and innovative methodologies to solve complex analytical challenges\nLeverage modern development tools and frameworks (e.g., GitHub Copilot, CI/CD pipelines) to streamline workflows and improve delivery efficiency\nOptimize data science workflows for scalability and performance in cloud environments (Azure)\n Basic QualificationsBachelor's Degree required, Master’s degree, Ph.D., preferred in Data Science, Machine Learning, Computer Science, Mathematics, or a related field5+ years of experience developing statistical and AI/ML models using modern tools and best practices\n3+ years of experience building predictive models, including regression, classification, and NLP applications\n3+ years of hands-on experience with Python (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow)\n3+ years of experience working in cloud environments (Azure preferred)\n2+ years of experience with SQL for data querying and manipulation\nStrong experience with data visualization tools such as Power BI (or equivalent)\nDemonstrated ability to apply semantic analysis or coding techniques within ML workflows\nStrong written and verbal communication skills with the ability to convey technical concepts clearly\nExperience using Git-based version control for collaborative development\nAbility to work effectively within Agile teams, contributing to sprint planning, iterative development, and continuous improvement\nProven ability to collaborate across technical and business stakeholders to deliver high-quality, data-driven solutions","description_format":"text","description_chars":3516,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k 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