{"id":3892283,"url":"https://alion.io/job/nov-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1814757,"name":"NOV","domain":"nov.com","url":"https://alion.io/company/nov-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":85,"open_postings":76,"ghost_share":0,"stale_share":0.566,"repost_share":0.026,"time_to_fill_p50_days":40,"computed_at":"2026-11-09T06:03:00Z"}},"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":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true},{"name":"Function Calling","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-06T19:50:49Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T06:25:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Business Data Science and AI team works with business teams across the organization to identify, assess, and solve real business problems by analyzing all available data, including enterprise, connected product, and publicly available datasets, to create and discover meaningful insights.\nThe Senior Data Scientist leads the design and delivery of Data Science and AI solutions across NOV’s global operations, mentors junior talent, and translates insights into measurable business outcomes.\nAs a Senior Data Scientist, you will:\nPartner with business leaders to identify high-value opportunities, understand workflows, define requirements, and select analytical approaches across functions such as sales, manufacturing, supply chain, and finance.\n\nCollaborate with domain experts, business analysts, data engineers, software engineers, and integration teams.\n\nLead cross-business-unit and global data science initiatives, defining project scope, timelines, and deliverables with business leaders.\n\nDevelop and validate machine learning models, from data preparation and feature engineering through algorithm selection and optimization.\n\nDeploy and maintain production-ready models and AI applications, including evaluation, monitoring, alerting, versioning, and retraining.\n\nDesign and evaluate agentic AI solutions, including tool-using workflows and retrieval-augmented generation when appropriate.\n\nEstablish reusable analytical and engineering practices for scalable, reliable solutions.\n\nApply data governance, privacy, and security standards.\n\nMentor interns, junior data scientists and analysts.\n\nCommunicate findings and actionable recommendations through clear visualizations to technical, business, and executive audiences.\n\n REQUIRED QUALIFICATIONS\nDegree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Mathematics, or equivalent experience.\n\n3 to 5 years of data science experience, including delivering high-impact projects from problem definition through production and demonstrating business results; equivalent experience considered.\n\nStrong communication skills, including explaining technical work and influencing executive stakeholders.\n\nAdvanced SQL and Python skills.\n\nApplied machine learning expertise in supervised and unsupervised learning, deep learning, feature engineering, statistical modeling, validation, and optimization, with evaluation against business outcomes.\n\nExperience deploying and supporting enterprise-scale data science or AI solutions in AWS or Azure cloud environments.\n\nWorking knowledge of MLOpsand software engineering, including version control, testing, CI/CD, experiment tracking, model versioning, deployment, and monitoring.\n\nPREFERRED QUALIFICATIONS\nKnowledge of sales, manufacturing operations, supply chain, ERP systems, or finance is a plus.\n\nExperience with Databricks or Snowflake; both isa plus.\n\nStrong PySparkskills for distributed processing.\n\nPractical knowledge of agentic AI, including tool/function calling, retrieval-augmented generation, orchestration, guardrails, observability, and evaluation; 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