Data Science Intern

SupportFinity™; Los Angeles (CA); On-site; USD 21,025 - 29,945; Part time

Job summary

SupportFinity™ is seeking a Brand Partnerships Intern in Los Angeles, California. This role involves collaboration with various business teams to solve complex data-related challenges. The intern will conduct analysis, build models, and help define new metrics for business intelligence.

The ideal candidate should have a strong academic background in math or statistics, and proficiency in Python and machine learning methodologies. The position offers a chance to gain hands-on experience in data science within the e-commerce sector.

Qualifications

• Proficient in Python, Pandas, NumPy and other relevant packages.
• Familiar with statistical methods and machine learning methodology.
• Ability to conduct AB Testing and model evaluations.

Responsibilities

• Partner with leaders to plan data science projects.
• Conduct analysis and build models from data.
• Work on BI infrastructure and automate metric extraction.
• Apply findings in website personalization and marketing optimization.

Skills

Analytical skills

Python

Statistical methods

Machine learning

Attention to detail

Education

Background in statistics, math, science, or technology

Tools

Pandas

NumPy

SQL

Job description

Main purpose of the Brand Partnerships Intern role:

This is an internship role for a candidate who will use a diverse skill set across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve.

Major Responsibilities

• Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects
• Conduct complex analysis and build models to uncover key learning from 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, fraud detection, demand forecast, CLV prediction

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

• Proficient in Python, Pandas, 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
• Ability to build, validate, and productionize models

Preferred Qualifications

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

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 $18.50 to $18.50.