{"id":3788609,"url":"https://alion.io/job/steampunk-data-scientist-3","title":"Data Scientist","company":{"id":3854754,"name":"Steampunk","domain":"steampunk.com","url":"https://alion.io/company/steampunk-5","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":16,"computed_at":"2026-11-07T05:47:08Z"}},"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":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-11-05T05:02:59Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T04:45:09Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Overview\nWe are looking for seasoned Data Scientist to work with our existing team of Data Architects and Developers to develop strategies, create ML/AI solutions, and deliver results. We are looking for a more than just a “Data Scientist”, but a technologist with excellent communication and customer service skills and a passion for data and problem solving.\nContributions\nConduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities. \nDevelop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries. \nPerform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance. \nEvaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements. \nWork with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent. \nCollaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications. \nBuild visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders. \nSupport human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback. \nContribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories. \nStay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows. \nYou will contribute to the growth of our AI & Data Exploitation Practice! \nQualifications\nAbility to hold a position of public trust with the US government\nBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field\n5+ years industry experience developing ML/AI solutions and a passion for solving complex problems\n3+ years direct experience in Data Modeling and Data Solution Development\nExperience modeling on structured and unstructured data sets\nExperience with exploratory data analysis\nExperience in feature engineering\nExperience in data visualization\nExperience with Python and SQL\nExperience with Deep Learning methodology and state of the art libraries\nKnowledge of data collection methods, capabilities, and tasking process\nKnowledge of Neo4j\nKnowledge of criminal justice, grants, research arenas\nAbility to leverage multiple data management tools to organize relevant information and make decisions\nAbout steampunk\nSteampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.\nIdentity Statement\nAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nSteampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.\nWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 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