{"id":2485990,"url":"https://alion.io/job/comcast-supply-chain-data-scientist-3","title":"Supply Chain Data Scientist 3","company":{"id":9377,"name":"Comcast","domain":"comcast.com","url":"https://alion.io/company/comcast-corporation","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-15T05:46:00Z"}},"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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11500,"max_usd":27000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prophet","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-10-13T00:00:00Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-15T05:31:00Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.Job Summary\nResponsible for extracting insights from large, complex datasets to solve challenging business problems using advanced data science techniques. This includes data preparation, exploratory analysis, predictive modeling, forecasting, and visualization to drive better decision-making and business outcomes. The role focuses on developing scalable data science solutions that leverage statistical modeling, machine learning, and time-series forecasting to improve demand planning, supply chain performance, and operational efficiency. The team builds and deploys data-driven solutions across a wide range of applications, utilizing modern data platforms, cloud technologies, and machine learning frameworks. This position operates with a high level of autonomy while contributing to cross-functional initiatives and leading data science projects end-to-end.Job Description\nThe Supply Chain Data Scientist plays a key role in developing forecasting and predictive analytics solutions to support Comcast’s Demand & Supply Planning functions. This role emphasizes time-series forecasting, demand sensing, and machine learning-driven insights to improve planning accuracy and responsiveness. You will partner with a U.S.-based Data Science team to enhance forecasting capabilities, develop scalable models, and drive continuous improvement in supply chain analytics.\nCore Responsibilities:\nDevelop and deploy time-series forecasting models to improve demand planning accuracy across products and regions.\n\nBuild and evaluate machine learning models for demand sensing, anomaly detection, and predictive analytics.\n\nPerform data wrangling, feature engineering, and exploratory analysis on large-scale supply chain datasets.\n\nDesign and implement end-to-end data science pipelines for forecasting and predictive use cases.\n\nAnalyze and monitor forecast performance metrics (i.e. accuracy, bias, attainment) and continuously improve model performance.\n\nPartner with business stakeholders to translate data insights into actionable recommendations.\n\nCreate documentation, dashboards, and visualizations to communicate insights and model outputs.\n\nCollaborate with cross-functional teams to productionize and scale data science solutions.\n\nKnowledge/Skillset:\nStrong foundation in data science and forecasting, including time-series models (ARIMA, Prophet, XGBoost and other ML-based forecasting approaches).\n\nExperience applying machine learning techniques to real-world business problems, particularly in demand forecasting or predictive analytics.\n\nProficiency in Python, SQL, Excel (PowerPivot), and PowerPoint, using them to build, test, visualize, and present optimization and analytical models.\n\nUnderstand modern data ecosystems, including relational databases, data-warehouse design, cloud storage, and ETL best practices supporting optimization and ML workflows.\n\nExperience with GitHub and cloud compute/ML platforms, such as AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, or Databricks.\n\nExcel in project management and cross-functional collaboration, ensuring smooth delivery of optimization and analytics initiatives.\n\nYou take initiative and drive Optimization and ML projects end-to-end: from problem formulation, data acquisition, and stakeholder alignment to modeling, solution refinement, productionization, and performance monitoring.\n\nPreferred Requirements:\n5+ years of experience in data science, forecasting, or predictive analytics, ideally in Supply Chain, Telecom, Retail, or CPG.\n\nMaster’s degree in data science, statistics, computer science, or a related field.\n\nExperience with large-scale forecasting systems and demand planning processes.\n\nFamiliarity with feature engineering for time-series and hierarchical forecasting techniques.\n\nExperience with cloud-based ML platforms (Databricks, SageMaker, Azure ML, etc.).\n\nKnowledge of demand planning, forecasting processes, and related metrics (forecast accuracy, bias, demand attainment)\n\nProven track record of delivering measurable improvements in forecast accuracy or business KPIs.\n\nFlexibility to collaborate with US based teams and support critical work aligned to U.S. time zones when needed.\n\nEmployees at all levels are expected to:\nUnderstand our Operating Principles; make them the guidelines for how you do your job.\n\nOwn the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.\n\nKnow your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.\n\nWin as a team - make big things happen by working together and being open to new ideas.\n\nBe an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call-backs, and helping us elevate opportunities to do better for our customers.\n\nDrive results and growth.\n\nRespect and promote inclusion & diversity.\n\nDo what's right for each other, our customers, investors, and our communities.\n\nDisclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.\nWe believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.\nPlease visit the benefits summary on our careers site for more details.\nEducation\nMaster's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.Certifications (if applicable)\nRelevant Work Experience\n5-7 YearsComcast is an equal opportunity workplace. 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