Senior Data Scientist

Meet REVOLVE: 

REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit www.revolve.com.
 

At REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It’s our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. 

Some of the sweetest perks we offer aren’t in a typical benefit package like hefty discount on items we carry – as in 50% or more off retail prices, free weekly lunches, and pretty rad company parties.
 

To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve.

Are you ready to set the standard for Premium apparel?

Main purpose of the Senior Data Scientist  role:

Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve. 

Major Responsibilities:

Essential Duties and Responsibilities include the following.  Other duties may be assigned.

• Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies
• Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations.
• Work closely with the DBA to improve BI’s infrastructure, architect the reporting system, and invest in time for technical proof of concept. 
• Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis
• Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction.
• Experiment with new tools, technologies, and methodologies to enhance AI and Data Science capabilities. Contribute to the development of the company's data science strategy and roadmap

Required Competencies:

To perform the job successfully, an individual should demonstrate the following competencies:

• Outstanding analytical skills, with strong academic background in statistics, math, science or technology.
• High comfort level with programming, ability to learn and adopt new technology with short turn-around time.
• Knowledge of quantitative methods in statistics and machine learning 
• Intense intellectual curiosity – strong desire to always be learning
• Proven business acumen and results oriented.
• Ability to demonstrate logical thinking and problem solving skills
• Strong attention to detail

Minimum Qualifications:

• Master Degree is required
• 3+ years of DS and ML experience in a strong analytical environment.
• Proficient in Python, NumPy and other packages
• Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations. 
• Experience with AB Testing and pseudo-A/B test setup and evaluations
• Advanced SQL experience, query optimization, data extract
• Ability to build, validate, and productionize models

Preferred Qualifications:

• Strong business acumen
• Experience in deploying end to end Machine Learning models
• 5+ years of DS and ML experience preferred
• Advanced SQL and Python, with query and coding optimization experience
• Experience with E-commerce marketing and product analytics is a plus

A successful candidate works well in a dynamic environment with minimal supervision.  At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it’s what keeps us on our toes and excited to come to work every day. 

For individuals assigned and/or hired to work in California, Revolve includes a reasonable estimate of the salary or hourly rate range for this role. This takes into account the wide range of factors that are considered in making compensation decisions; including but not limited to business or organizational needs, skill sets, experience and training, licensure, and certifications.

A reasonable estimate of the current base hourly/salary range is $120,000 to $150,000/ year.

ATTENTION:

After submitting your application, please check your spam folder for emails on your application status. Emails are sent from an ADP email address.