Senior Data Scientist

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