{"id":3776551,"url":"https://alion.io/job/grid-dynamics-senior-data-scientist-engineer-","title":"Senior Data scientist Engineer.","company":{"id":1625,"name":"Grid Dynamics","domain":"griddynamics.com","url":"https://alion.io/company/grid-dynamics-poland","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false},{"name":"Databricks","optional":true},{"name":"Embeddings","optional":true},{"name":"LLM","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T17:22:11Z","employer_posted_date":null,"last_verified_at":"2026-11-04T17:22:11Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"This is an opportunity to join the Integrated business planning (IBP) team responsible for Statistical Forecasting & analytics.\n\nKey metrics include Forecast Accuracy and bias. The team works closely with various business units, regions, and functions across multiple domains.\n\nWe need a Senior Data Scientist for a team that is in charge of building and sustaining PepsiCo forecasting engine, consisting\n\nof deployable statistical and machine learning models, mostly for time series forecasting in the context of integrated business planning and beyond.\n\nResponsibilities\n\nThe primary objective is to transform poor-quality provider data into usable datasets. This enables ML model development and delivers foundational insights for commercial teams that currently lack them. A roadmap exists for future development beyond initial cleaning.\n\nRequirements\n\n Hard Skills: Standard Data Science StackCore technical skills include Python and strong data processing proficiency. PySpark is a significant nice-to-have due to heavy use of Databricks. Experience with non-trivial data cleaning (e.g., fuzzy matching, unstructured string processing) is essential.\n LLM Knowledge: A Desirable PlusWhile not mandatory, familiarity with LLMs—especially text embeddings—would be valuable, as the team leverages LLMs to assist with complex data cleaning and text processing.\n\nNice to have\n\nExperience with demand forecasting projects in production in enterprise scale\n\nWe offer\n\nOpportunity to work on bleeding-edge projects\nWork with a highly motivated and dedicated team\nCompetitive salary\nFlexible schedule\nBenefits package - medical insurance, sports\nCorporate social events\nProfessional development opportunities\nWell-equipped office\n\nAbout Us\n\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. 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