Data Scientist

Position Title: Data Scientist

Job Description:

Roles & Responsibilities:

• Collaborate with business teams to develop production grade machine learning models on large-scale datasets and improve customers overall shopping experience
• Enhance and apply customer lifetime value models to support various business decision making
• Generate sentiment analysis based on surveys and customer feedback in order to deliver lovable customer experiences
• Identify key drivers for customer satisfaction and opportunities to delight customers through mining complex data
• Apply machine learning to enhance recommendation engines and deliver personalized user experience on ecommerce website and loyalty mobile app
• Build models and algorithms to fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
• Apply predictive modeling techniques to optimize the forecasts for planning needs
• Scale up prototypes and implement reliable automated production workflow for models
• Collaborate with software development engineers to integrate models

Experience Required:

• Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
• 2+ 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.
• 2+ years of experience and proficiency in SQL, Python and/or Spark-ML
• 2+ 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
• Strong teamwork and communication skills
• Ability to write production-level code in Python
• Experience with Snowflake, Azure Databricks is a strong plus

Skills Required:

• SQL
• Python
• Machine Learning
• Deep Learning

Nice to have:

• LLM / Gen AI
• Recommendation and personalization Algorithm
• Statistical & Mathematical Foundations Strong knowledge of regression, clustering, survival modeling, and ensemble techniques.
• Strong communication skills

Optional:

• Cross-Functional Collaboration Skills: work in a matrix structure.