Senior Data scientist Engineer.
Grid Dynamics
Date: 4 hours ago
City: Hyderabad, Telangana
Contract type: Full time
This is an opportunity to join the Integrated business planning (IBP) team responsible for Statistical Forecasting & analytics.
Key metrics include Forecast Accuracy and bias. The team works closely with various business units, regions, and functions across multiple domains.
We need a Senior Data Scientist for a team that is in charge of building and sustaining PepsiCo forecasting engine, consisting
of deployable statistical and machine learning models, mostly for time series forecasting in the context of integrated business planning and beyond.
Responsibilities
The 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.
Requirements
Experience with demand forecasting projects in production in enterprise scale
We offer
Grid 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. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
Key metrics include Forecast Accuracy and bias. The team works closely with various business units, regions, and functions across multiple domains.
We need a Senior Data Scientist for a team that is in charge of building and sustaining PepsiCo forecasting engine, consisting
of deployable statistical and machine learning models, mostly for time series forecasting in the context of integrated business planning and beyond.
Responsibilities
The 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.
Requirements
- 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.
- 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.
Experience with demand forecasting projects in production in enterprise scale
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
Grid 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. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
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