{"id":200347,"url":"https://alion.io/job/general-mills-dt-data-scientist-i","title":"D&T Data Scientist I","company":{"id":93250,"name":"General Mills","domain":"generalmills.com","url":"https://alion.io/company/general-mills","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0.3,"time_to_fill_p50_days":37,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12500,"max_usd":29000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-08-24T00:00:00Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-11-02T22:16:15Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"COMPANY OVERVIEW\nWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.\n\nOVERVIEW\nGeneral Mills, Digital and Technology India, is seeking a Data Scientist II to join the Data Science team. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, logistics optimization, price optimization, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.\nKEY ACCOUNTABILITIES\nDevelop novel ways to help business partners achieve objectives through analysis & modelling\n\nThink outside the box to identify & test new sources of information that unlock new business value\n\nExplore, curate and connect external data sets for broad enterprise-wide analytic usage\n\nEngineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results\n\nUtilize machine learning models to create repeatable, dynamic & scalable models\n\nBe a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams\n\nBe a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists\n\nCollaborates with technical teams like development and infrastructure.\n\nAble to explore, troubleshoot on niche technologies and provide automation solutions.\n\nHave passion to advocate and educate on the value and importance of data driven decision making & analytical methods\n\nIdentify and develop long-term data science processes, frameworks, tools, and standards\n\nBe a part of innovation team to partner in developing accelerators and Agentic solutions for Data Science team productivity.\n\nMINIMUM QUALIFICATIONS\nMinimum qualification- Bachelor's in Technology/ Engineering/Science.\n\nTotal analytics experience required 4-6 Years.\n\nExperience with supervised machine learning models.\n\nExperience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.\n\nTechnical understanding of cloud platforms and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.\n\nStrong attention to detail & accuracy.\n\nGood collaboration skills and ability to communicate insights through clear, simple stories.\n\nGood verbal and written communication skills.\n\nExpert level understanding -Python, Exploratory data analysis, Inferential Statistics.\n\nAny Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.\n\nIntermediate Level Understanding - R & SQL. Any Cloud platform. 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