Data Scientist

? Develop, validate, and deploy time series forecasting models for business and

operational planning.

? Work on predictive analytics and demand forecasting projects.

? Build ML-driven solutions using statistical and machine learning techniques.

? Analyze large datasets and derive actionable business insights.

? Collaborate with stakeholders to understand business requirements and translate them

into analytical solutions.

? Contribute to end-to-end model development lifecycle including feature engineering,

model evaluation, deployment, and monitoring.

? Participate in client discussions and present analytical findings effectively.

We are looking for a skilled Data Scientist with strong experience in Time Series Forecasting,

Predictive Analytics, and Machine Learning to join a leading analytics consulting engagement.

The ideal candidate will have hands-on expertise in developing and deploying forecasting

models for business and operational use cases., ? Strong programming experience in:

? Python

? R

? SQL / NoSQL

? Spark

? Experience with Cloud Platforms:

? AWS

? Azure

? GCP

? Hands-on experience in:

? Time Series Forecasting

? Predictive Analytics

? Demand Planning

? Statistical Modeling

? Experience with Python libraries/frameworks such as, ? Strong understanding of:

? Statistics

? Hypothesis Testing

? Machine Learning Algorithms

Preferred Machine Learning Expertise, ? 4-8 years of relevant industry experience.

? Strong communication and stakeholder management skills.

? Prior consulting/client-facing experience is preferred.

? Ability to work in a fast-paced analytics environment.