Data Scientist

Role OverviewWe 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 forecastingmodels for business and operational use cases.Key Responsibilities● Develop, validate, and deploy time series forecasting models for business andoperational 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 theminto 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.Required Skills● 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:○ NumPy○ Pandas○ Scikit-learn○ TensorFlow○ BERT○ Scrapy● Strong understanding of:○ Statistics○ Hypothesis Testing○ Machine Learning AlgorithmsPreferred Machine Learning Expertise● Random Forest● Neural Networks● Decision Trees● Logistic Regression● K-Means Clustering● Linear Regression● PCADomain ExperienceExperience in one or more of the following domains is preferred:● Retail● Banking● Insurance● Supply Chain / Demand PlanningQualifications● 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.