{"id":1258514,"url":"https://alion.io/job/adiglobal-data-scientist","title":"Data Scientist","company":{"id":1795735,"name":"ADI Global Distribution","domain":"adiglobal.com","url":"https://alion.io/company/adiglobal-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Querétaro, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-08-05T18:04:16Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-09-30T23:49:03Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"As a Data Scientist, you will collaborate with a global, high-performing team to design, build, and operationalize advanced data science and machine learning solutions. Your work will support customer experience, demand generation/forecasting, operations optimization, and revenue growth initiatives across B2B, and Digital Commerce environments.\nThis role sits at the intersection of advanced analytics, applied machine learning, and business strategy. You will translate complex data and modeling outcomes into actionable insights while ensuring that models move efficiently from experimentation into scalable, production-ready solutions.\nJOB DUTIES:\nDesign, develop, and deploy predictive and prescriptive models to support customer experience optimization, demand forecasting, operations efficiency, and customer behavior analysis.\nApply a range of machine learning and AI techniques, including classical algorithms (e.g., Gradient Boosting, Random Forests, SVMs), deep learning architectures (e.g., LSTM, Transformers), and emerging AI approaches to solve complex business problems.\nBuild, maintain, and optimize customer-facing and internal analytical models, such as recommendation systems, churn prediction, propensity modeling, customer segmentation, demand forecasting, matching, and assortment optimization.\nPerform feature engineering, clustering, statistical modeling, and time-series analysis using structured and unstructured data sources.\nTransition models from exploratory research environments (e.g., notebooks) into production-ready artifacts, including APIs, serialized models, and containerized solutions.\nCollaborate closely with engineering teams to ensure end-to-end MLOps integration, including CI/CD pipelines, model versioning, automated deployment, monitoring, and retraining strategies.\nConduct advanced statistical analysis to identify trends, anomalies, and opportunities, delivering actionable insights through reports and analytical outputs.\nSupport experimentation initiatives through A/B testing, KPI definition, causal inference, and measurement of business impact.\nPartner with product, engineering, analytics, and business stakeholders to identify and prioritize data science opportunities aligned with organizational goals.\nCommunicate findings clearly, including assumptions, limitations, trade-offs, and recommendations, to both technical and non-technical audiences.\nContribute to a strong data-driven culture by sharing knowledge, promoting best practices, mentoring peers, and advocating for responsible and ethical use of AI.\nYOU MUST HAVE:\n3+ years of hands-on experience in applied data science and machine learning, ideally within B2B, Retail, or Digital Commerce environments.\nStrong proficiency in Python, including experience with data science and ML libraries such as Pandas, NumPy, Scikit-learn, and visualization tools.\nAdvanced SQL skills, including the ability to write complex queries, procedures, and analytical transformations.\nSolid understanding of classical machine learning algorithms and their real-world business applications.\nStrong analytical, critical-thinking, and problem-solving abilities with a consistent focus on business impact.\nProfessional working proficiency in English for global collaboration and technical communication.\nWE VALUE:\nExperience applying deep learning techniques, including sequence models (LSTM) and Transformer-based architectures.\nHands-on experience leveraging Large Language Models (LLMs) for use cases such as text classification, search, summarization, enrichment, or automation.\nPractical experience designing or improving recommendation systems and personalization models.\nFamiliarity with MLOps best practices, including CI/CD pipelines, automated testing, deployment, monitoring, and retraining.\nExperience with Snowflake or similar cloud-based data warehouse platforms.\nExposure to data engineering concepts, such as data pipelines, dbt, workflow orchestration, or streaming architectures.\nExperience working with Azure cloud services and ML/AI platforms.\nProficiency with GitHub for version control and collaborative development workflows.\nExperience working in Agile/Scrum environments.\nStrong collaboration skills, intellectual curiosity, adaptability, and a commitment to continuous learning.\nWHAT'S IN FOR YOU:\nBenefits that go beyond Mexican labor law, ensuring your well-being and peace of mind.\nA collaborative and inclusive work environment where your contributions are valued.\nOpportunities for continuous professional growth and skill development through training, mentoring, and challenging projects.\nAccess to cutting-edge tools, resources, and a supportive team to help you excel.\nThe chance to work with a global, innovative company shaping the future in its industry.","description_format":"text","description_chars":4789,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Hardware","Electrical & Electronic Engineering","Building Automation & Controls"],"lifecycle":[{"event":"open","at":"2026-09-25T19:45:04Z"}],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.423,"p_room":0.35,"age_days":55,"expected_fill_days":19,"reasons":["conf:1","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/adiglobal-data-scientist","json_url":"https://alion.io/job/adiglobal-data-scientist.json","meta":{"generated_at":"2026-10-01T04:28:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3791,"day_limit":5000,"remaining_today":1209,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}