Senior Data Scientist Engineer

Grid Dynamics; Hyderabad; Presencial; INR 1.200.000 - 2.100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Flexible schedule

Medical insurance

Corporate social events

Professional development opportunities

Well-equipped office

Descripción de la vacante

Grid Dynamics in India is seeking a Senior Data Scientist to join the IBP team focused on statistical forecasting and analytics. You will build and sustain a forecasting engine with deployable models for time series forecasting in integrated business planning and beyond.

You will transform provider data into clean datasets, enabling ML development and actionable insights for commercial teams across regions.

Formación

• Strong Python and data processing skills.
• Experience with PySpark and Databricks is desirable.
• Experience with non-trivial data cleaning and preprocessing.

Responsabilidades

• Transform poor-quality provider data into usable datasets.
• Support ML model development and forecasting engine.
• Deliver foundational insights for commercial teams.

Conocimientos

Python

Data processing

Fuzzy matching

Herramientas

PySpark

Databricks

Descripción del empleo

Job Description

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

• 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.

Nice to have

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

About Us

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.