Advanced Data Scientist

Position Title: Advanced Data Scientist Job Description: Roles & responsibilities: Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets Enhance and apply end-to-end demand forecasting models to support various business decision making Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence Convey machine learning solutions with intuitive visualizations and effective communications Scale up prototypes and implement reliable automated production workflow for models Collaborate with software development engineers to integrate models Experience Required: Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering 4+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc. Experience with any of the following business analytics practices is preferred: Supply chain analytics, including inventory optimization Time series forecasting for large-scale demand forecasting Ecommerce fulfillment operations, pick path optimization 4+ years of experience and proficiency in SQL, Python and/or Spark-ML 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Ability to write production-level code in Python Experience with Snowflake, Azure Databricks is a strong plus Skills Required: Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing) ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering) Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search) SQL, Python Skills Preferred: Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query) Production-level Python coding Data Engineering AI Methodologies (GenAI, Agentic AI)