{"id":3434181,"url":"https://alion.io/job/alliant-data-scientist-naics-classification-analytics","title":"Data Scientist – NAICS Classification & Analytics","company":{"id":3138893,"name":"alliant","domain":"alliantglobal.com","url":"https://alion.io/company/alliantglobal","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"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":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":89000,"max_usd":170000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":530},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-28T00:00:00Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-01T13:15:25Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a highly analytical and detail-oriented Data Scientis t with experience working with North American Industry Classification System (NAICS) codes, large datasets, and advanced analytics.\nThis individual will be responsible for analyzing, classifying, and interpreting business data to identify industry trends, market opportunities, and potential clients.\nThe ideal candidate will have strong technical expertise in Python, SQL, data modeling, and machine learning, along with an understanding of industry classification systems.\n\nKey Responsibilities\nAnalyze large datasets to identify business trends, industry patterns, and market opportunities.\nUtilize NAICS codes to accurately classify businesses by industry and sector.\nDevelop automated processes to assign, validate, and update NAICS codes across company databases.\nBuild predictive models to identify prospective clients and business development opportunities.\nClean, organize, and standardize large volumes of company and industry data.\nDevelop algorithms to match companies with appropriate NAICS classifications based on business descriptions, products, and services.\nUse machine learning and natural language processing (NLP) to improve industry classification accuracy.\nIdentify discrepancies in NAICS classifications and recommend corrections.\nWork closely with sales, marketing, business development, and leadership teams to provide actionable insights.\nCreate dashboards, reports, and visualizations to communicate findings to stakeholders.\nIntegrate information from external business databases and public industry datasets.\nContinuously improve data quality, classification methodologies, and analytical processes.\nQualifications Required:\nBachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.\n3+ years of experience in data science, data analytics, or a related technical field.\nStrong proficiency in Python and SQL.\nExperience working with large business datasets.•Knowledge of NAICS codes and industry classification methodologies.\nExperience with machine learning, predictive analytics, and statistical modeling.\nStrong data cleansing, validation, and data management skills.\nAbility to translate complex data into meaningful business insighs\nPreferred:\nExperience working with NAICS and SIC classification systems.\nFamiliarity with business intelligence platforms such as Power BI or Tableau.\nExperience with NLP, text classification, and automated industry mapping.\nExperience with business databases such as Dun & Bradstreet, ZoomInfo, or similar platforms.\nKnowledge of market segmentation, lead scoring, and business intelligence.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud.\nalliant offers a comprehensive compensation and benefits package including 100% employer paid medical /dental premiums for single coverage for certain options, 401(k) matching, PTO, company provided life insurance and disability, onsite gym and group exercise classes, paid covered parking, and more!\nDo Work That Matters. alliant","description_format":"text","description_chars":3067,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-29T02:08:01Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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