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Sr. Data Scientist

Remote:

Full Remote

Contract:

Full time

Salary:

133 - 183K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

MS/Ph.D. in quantitative field, 3+ yrs ML experience in e-commerce.

Key responsabilities:

Lead pricing analytics
Develop ML models for decision-making
Provide actionable insights for key decisions

Shutterfly Computer Software / SaaS XLarge Unknown

10001 Employees

See more Shutterfly offers

Job description

Your missions

Description

At Shutterfly, we make life’s experiences unforgettable. We believe there is extraordinary power in the self-expression. That’s why our family of brands helps customers create products and capture moments that reflect who they uniquely are.

The Shutterfly Personalization Data Sciences Team is recruiting a Senior Data Scientist – pricing as thought leader within a broad array of machine learning applications to help make informed pricing and promotional decisions that increase revenue and profitability. Our growing team of data scientists and engineers will give you with the opportunity to work with virtually every form of customer purchase and engagement data, applying state of the art techniques for customer personalization and price optimization.

This role is currently not approved for visa sponsorship or transfers. Candidates requiring visa sponsorship now or anytime in the future will NOT be considered.

What You'll Do Here: 

Provide thought leadership within pricing and promotions analytics and translating complex concepts for non-analytical peers within Marketing, Ecommerce, Product and Engineering
Develop experimental designs to support test and learn
Apply advanced knowledge of SQL and the ability to extract and deploy complex modeling features through our MLops feature store
Size the impact of the models on key business measures
Build machine learning models using Python which can recommend optimal product, price, offer, content and information.
Provide actionable insights to drive key decisions across the marketing organization using a range of analytical/statistical techniques from descriptive analysis to predictive/explanatory models
Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems

The Skills You'll Bring: 

MS or Ph.D. or equivalent experience in a quantitative field such as computer or data science, economics, finance or applied statistics.
3+ years of experience in developing and deploying machine learning and deep learning models including experience in the context of discount and pricing in an ecommerce setting.
Exhibited knowledge of pricing and promotional strategies. Candidates should have a deep understanding of how pricing and promotions impact customer behavior and sales.
Hands-on experience with linear programming tools such as PuLP for optimization of constrained pricing decisioning.
Experience with state-of-the-art ML frameworks such as Sklearn, Tensorflow and PyTorch.
Experience with MLops tools and platforms such as MLflow, Sagemaker and DataBricks
Advanced SQL skills
Practical experience with distributed data platforms: Map/Reduce, Hadoop, SPARK
Usage of cloud compute solutions, eg. AWS, GCS or Azure
Experience with version control systems such as Github
Hands-on experience with Unix and shell scripting

The compensation package for this role is based on multiple factors, such as job level, responsibilities, location, and candidate experience. The base pay ranges included below are specific to the locations listed and may not be applicable to other locations. California: [$141,500-200,250] Connecticut, New York, and Rhode Island: [$141,500 -183,250] Colorado and Washington: [$141,500-169,750] Nevada: [$133,000-183.250]

#SFLYTechnology

Supporting a diverse and inclusive workforce is important to Shutterfly not only because it directly reflects our value of Embracing our Differences, but also because it’s the right thing to do for our business and for our people. We welcome all applicants and evaluate them based on their qualifications, without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or other characteristic covered by law. Learn more about our commitment to Diversity, Equity, and Inclusion on our Career Site.

This position will accept applications on an ongoing basis until filled.