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)