Albertsons Companies is seeking a Lead Data Scientist to lead innovation in customer experience and operational efficiency for one of the largest food and drug retail chains in the United States. The role aims to leverage AI and digital technologies to revolutionize the grocery experience and improve store operations, supply chain, and product lifecycle.
Requirements
- Master’s or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
- 7+ years of industry experience in applying data science and modeling methodologies: regression model, ensemble modeling, recommendation algorithm, NLP, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
- Background in building Recommendation systems or Personalization is strongly preferred
- 5+ years of experience and proficiency in Python and/or Spark-ML
- 5+ years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data
- 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop
- Proven track record of leveraging data science solutions to drive impactful business decisions
Responsibilities
- Identify and provide solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs
- Use machine learning algorithms to generate customer behavior segmentation, to build recommendation engines and deliver personalized 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 data science solutions to solve complex problems and fuel growth initiatives for Digital, Merchandising, Marketing and Loyalty teams
- Extract insights and scale sentiment analysis from comments and other forms of feedback using Natural Language Processing. Develop adaptable NLP solutions including text categorization, domain classification, event detection, and topic modeling
- Design experiments and deliver A/B Testing analysis to improve customer experience in physical store and on digital platforms
- Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
Other
- Master’s or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
- Proven ability to effectively distill and communicate complex machine learning solutions to different audiences
- Experience with Azure Databricks and Google Cloud is a strong plus
- Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus
- The position is primarily located in Pleasanton, CA or Boise, ID
