{"id":4196613,"url":"https://alion.io/job/techblocks-senior-data-scientist","title":"Senior Data Scientist","company":{"id":2334391,"name":"Techblocks","domain":"tblocks.com","url":"https://alion.io/company/tblocks","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T20:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T20:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a Senior Data Scientist with strong expertise in optimization and applied machine learning to support the development of large-scale decision systems in supply chain operations, including routing, scheduling, and resource allocation. This is a hands-on, execution-focused role working under the Data Science Lead. The successful candidate will own and enhance components of analytical and optimization models, ensuring they are scalable, reliable, and aligned with business needs. The role requires the ability to connect business requirements with data science solutions, operate in a fast-paced environment, and communicate effectively with both technical and non-technical stakeholders.\n\nKey Responsibilities:\nDevelop and enhance optimization models using MILP and heuristic approaches, applying them to problems such as vehicle routing, scheduling, and resource allocation, and improving performance using solvers such as Gurobi.\nApply machine learning techniques to support decision systems, including predictive modeling, feature engineering, and generating inputs for optimization models, while ensuring strong integration between ML and optimization frameworks.\nTranslate business requirements into structured analytical and optimization problems, incorporating operational constraints and clearly communicating model assumptions, trade-offs, and outcomes to stakeholders.\nDiagnose and resolve model issues including infeasibility, performance bottlenecks, and data inconsistencies, while analyzing trade-offs across cost, service level, and operational feasibility.\nDevelop and maintain data workflows using Python and SQL, and support scalable processing and deployment within cloud environments such as Azure and Databricks.\nEnsure data quality and model reliability by validating inputs, identifying gaps, and supporting feedback loops to improve model accuracy and alignment with operations.\nCollaborate with cross-functional teams, take ownership of model components, contribute to technical design discussions, and provide guidance to junior team members.\n\nQualifications:\n8+ years of experience in data science, operations research, or a related field.\nStrong hands-on experience in optimization (e.g., MILP, VRP, scheduling) and machine learning.\nProficiency in Python and SQL.\nExperience working with optimization solvers such as Gurobi.\nFamiliarity with Azure and Databricks environments.\nProven ability to translate business problems into data-driven solutions.\nStrong problem-solving skills and ability to work in fast-paced environments.\nEffective communication skills with both technical and business stakeholders.\n\nPreferred Qualifications:\nExperience in supply chain, logistics, or operations-focused environments.\nFamiliarity with large-scale optimization techniques or heuristic methods.\nExperience working with distributed data systems or cloud-based analytics platforms.\n\nWhat Success Looks Like:\n\nYou will deliver reliable and scalable model components that drive operational decisions, effectively bridge the gap between business and analytics, and contribute to measurable improvements in efficiency, service levels, or cost.\nSkills\nMachine Learning, Optimization, 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