Senior Data Scientist

Albertsons Companies • Pleasanton, CA

1d • Onsite

About The Position

The Data Science team at Albertsons Companies is looking for a Senior Data Scientist to work for the most transformational food and drug retailers in the United States. Albertsons operates over 2,300 stores under 19 well-known banners including Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen and Carrs. The company reported revenue of over $60 billion from over 34 million weekly shoppers and is the third largest private company in the country.

Data Science at Albertsons is inspired to build best in class customer experience and revolutionize the food and drug retail industry. We are looking for people who are excited in re-imagining the grocery experience by harnessing the power of AI and digital technologies. The Data Science team collects and relies on big data from existing stores and customer interactions at the 2300 nationwide stores and beyond. We are a highly driven team that applies data science to delight our customers, to improve store operations, to optimize supply chain and to proactively improve product lifecycle.

You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into business impacts on regular basis. You will work closely with other data scientists and business partners in identifying and defining data science projects, building machine learning algorithms and models on top of existing data platforms. The candidate will have a background in computer science or a related technical field with experience working with large data sets and applying data-driven decision making. A successful candidate will be both technically strong and business savvy, with a passion to make an impact through creative storytelling and timely actions. You are a self-starter, smart yet humble, with a bias for action.

The position will be based in Pleasanton CA.

Requirements

• Master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related fields
• 5 plus 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.
• 3 plus years of experience in marketing science-media mix modeling, Multi Touch Attribution, Campaign effectiveness KPI, Dynamic Ad revenue optimization, Dynamic Bidding, Media Supply Demand Optimization etc.
• 5 plus years of experience and proficiency in Python and/or Spark-ML
• 5 plus years of SQL development skills writing complex queries, transforming data, mining structured and unstructured data
• 3 plus 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
• Proven ability to effectively distill and communicate complex machine learning solutions to different audiences

Nice To Haves

• Experience with Snowflake, Azure Databricks is a strong plus
• Experience using data access tools and building dashboards with large datasets from multiple data sources is a plus

Responsibilities

• Big part of your responsibilities will be project-based. You will be responsible for identifying and providing solutions and tooling built on predictive modeling, machine learning algorithms that satisfy various business needs.
• Use machine learning algorithms to create Media Mix modelling (MMM). Multi Touch Attribution Modle (MTA), Media optimization, dynamic pricing and dynamic bid optimization, Click Through Rate prediction, Forecast Display product Ads & Sponsored Ad inventory
• Use machine learning algorithms to generate customer behavior segmentation, measure campaign effectiveness by tracking campaign success KPIs
• 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 feedbacks 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
• Convey sophisticated machine learning and modeling solutions with intuitive visualizations and effective communications

Benefits

• Competitive wages paid weekly
• Associate discounts
• Health and financial well-being benefits for eligible associates (Medical, Dental, 401k and more!)
• Time off (vacation, holidays, sick pay).  For eligibility requirements please visit myACI Benefits [https://urldefense.com/v3/__https:/myaci-benefits.com/__;!!K1aXqncla1X7G90AkdLmCg!rAQQIgK5qTHEOZimihiTu-Cq5CqDd5yTyDy2Md9yy2X9n5N5-LNd_VFz-Ph78hdScxWtyckceXfHreYVJ1PsQk_8tfijDVHG5g$]
• Leaders invested in your training, career growth and development
• An inclusive work environment with talented colleagues who reflect the communities we serve

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees