Blue Nile was created in 1999 by a man in love. He wanted to propose to his significant other and had the nervous excitement we all feel for that person who is just … right. But that excitement was met with frustration because of an outdated method for engagement ring shopping that only offered confusing information, limited choice, and commissioned salespeople. He knew there had to be a better way and founded Blue Nile based on a simple idea: Diamond engagement rings and fine jewelry should be fun, easy, and understandable. After all, they are meant for celebrating love.

This was a radical idea in the industry. That’s how we knew it was right. More than 500,000 couples have said “yes” to a better way to buy diamond engagement rings and fine jewelry gifts. And if you want to be part of a company that’s always blazed its own trail, we want to talk.

Blue Nile is a company of doers and everyone does their part to make the customer experience perfect. Far from a cog in a machine, the company’s structure can make you highly visible and offers the ability to learn, try new things, and see the impact of your work – regardless of level.

Blue Nile is looking for a passionate Data Scientist to join our team.   If you are excited by the opportunity to solve real world problems for millions of customers, using advanced modeling techniques, we want to hear from you. 

Successful candidates will have a good foundation in the latest modeling techniques and technologies for transforming customer signal into site features.  You will have solid understanding of agile development methodology, and the creativity to transform raw data into insights which help our users make better decisions.  Your contributions will delight millions of shoppers and be a strategic pillar in Blue Nile’s drive to reimagine the jewelry experience. 

In this critical role you will work daily with talented analysts, developers, marketers, and operational experts.  You will leverage cutting edge technologies to enable rapid development and deployment of production algorithms.  You will have the opportunity to delve deeply into rich data sets, and leverage your analytical problem solving to identify specific and actionable approaches to solving challenges. You will collaborate across the organization to bring your models to life in features which impact both customers and the business bottom line.   You will provide critical interface between technical teams and business stakeholders, and advocate across the organization for transformational power of data science.

Responsibilities:

• Develop models that drive recommendations, predictions, classification, and personalized site experiences for Blue Nile customers.
• Collaborate to design, develop and deploy production solutions that incorporate model building, runtime scoring, and performance monitoring.
• Evaluate, document, and manipulate large volumes of data.
• Write concise, well documented modeling code.
• Continuously debug and correct model assumptions though testing and hold out sample evaluation.
• Communicate complex concepts and results in an easily consumed manner across the organization.
• Stay up to date on research and industry trends, and identify technical areas for innovation.

Required Qualifications:

• 2+ Years of experience building and optimizing predictive models.
• Advanced degree (MS or PhD) in a quantitative analytics field such as economics, computer science, engineering, or statistics.
• Deep understanding of probability, statistics and machine learning theory including: Clustering, Decision Trees, Logistic Regression, Dimensionality Reduction, Random Forests, and Neural Networks for prediction and recommendations.  
• Experience with a Statistical Computing Package (R, SAS, SPSS, etc.)
• Experience with Python and related Machine Learning libraries (pandas, scikit-learn, etc.).
• Proficiency with SQL-like query languages to do data extraction, transformation, and loading
• Broad understanding of databases (e.g. Oracle PL/SQL, Mongo), and high-performance or distributed processing (e.g. Hadoop, Spark)
• Ability to work with stakeholders to assess needs, implement solutions, and provide communications to both technical and non-technical audiences.
• Passion for solving ambiguous and meaningful real-world problems using a collaborative approach and a rigorous statistical, data-driven mindset.

What we offer:

• Medical, Dental, and Vision Healthcare Coverage, paid by employer
• 401(k) with Company Match
• Paid Vacation
• Competitive Salaries
• Transportation Allowance
• Employee Discount
• Employee Referral Bonus