Senior Data scientist Engineer.

Grid Dynamics; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Medical insurance

Flexible schedule

Professional development

Corporate events

Well-equipped office

Competitive salary

Sports facilities

Job summary

Grid Dynamics in Hyderabad is seeking a Senior Data Scientist to join the IBP forecasting team responsible for statistical forecasting and analytics. You will build and sustain PepsiCo forecasting engine using time series models and deployable ML solutions.

You will transform poor-quality provider data into usable datasets, enabling ML model development and actionable insights for commercial teams. A roadmap for future data cleaning and model enhancements is in place.

Qualifications

• Strong Python and data processing skills with experience in data cleaning.
• Experience in non-trivial data cleaning (fuzzy matching, unstructured text).
• Knowledge of time series forecasting and statistical models is desirable.

Responsibilities

• Transform poor-quality provider data into usable datasets to enable ML model development.
• Develop and sustain a forecasting engine with deployable models for business planning.
• Provide foundational insights for commercial teams and roadmap future data improvements.

Skills

Python

Data processing

PySpark

Databricks

Fuzzy matching

Unstructured text processing

Time series forecasting

LLM embeddings

Tools

Databricks

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.