Principal Data Scientist

Description

• As a member of the Personalization Data Sciences Team, provide thought leadership within a broad array of machine learning applications to help make informed pricing and promotional decisions that increase revenue and profitability.
• Collaborate with data scientists and engineers who work with virtually every form of customer purchase and engagement data, applying state-of-the-art techniques for customer personalization and price optimization.
• Extract and deploy complex modeling features through the company’s MLops (Machine Learning Operations) feature store.
• Build machine learning models using Python to recommend optimal product, price, offer, content and information, as well as determine the impact of models on key business measures.
• Provide actionable insights to drive key decisions across the marketing organization using a range of analytical and statistical techniques, from descriptive analysis to predictive/explanatory models.
• Translate complex concepts for non-analytical peers within the Marketing, Ecommerce, Product and Engineering teams.
• Develop experimental designs to support testing. 

• Master’s degree or equivalent in Computer Science, Business Analytics, Data Analytics, Data Science, Economics, Applied Statistics, Life Sciences, or a related quantitative field. 
• 5 years of experience in data science, economics, computer science, or statistics.
• Employer will accept a Doctor of Philosophy degree in Computer Science, Business Analytics, Data Analytics, Data Science, Economics, Applied Statistics, Life Sciences, or a related quantitative field and 2 years of experience in data science, economics, computer science, or statistics in lieu of a Master’s degree or equivalent and 5 years of experience.
• Work experience to include: (1) 5 years of experience (or 2 years of experience with a Doctor of Philosophy degree) developing and deploying machine learning and deep learning models, including models in a business to consumer setting. (2) 5 years of experience (or 2 years of experience with a Doctor of Philosophy degree) with Advanced SQL. (3) 3 years of experience (or 2 years of experience with a Doctor of Philosophy degree) with ML frameworks, including Sklearn, Tensorflow, and PyTorch. (4) 2 years of experience with at least one of the following MLops tools and platforms: MLflow, Sagemaker, or DataBricks. (5) 2 years of experience utilizing at least one of the following cloud computer solutions: Amazon Web Services (AWS), Google Cloud Storage (GCS), or Azure. (6) 1 year of experience with at least one of the following distributed data platforms: MapReduce, Hadoop, or SPARK. (7) 1 year of experience with version control systems, including Github. (8) 1 year of hands-on experience with Unix and shell scripting.
• Any and all experience may be gained concurrently.
• 40 hours/week.
• Salary: $172,687 to $175,687 per year.
• Address of employment: This is a 100% telecommute position from anywhere in the United States reporting to Shutterfly, LLC’s office located at 10 Almaden Blvd., Suite 900, San Jose, CA 95113.