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.
