Job Description

Calling all rising junior and senior undergraduate students! We are currently seeking a superstar Data Science Intern to join the TechStyleOS team for Summer 2022.

What You’ll Do:

How Do You Fit In?

TechStyle Fashion Group’s in-house agency takes a data-driven approach to drive marketing spend across our portfolio of brands. The Data Science Intern is responsible for developing insights that will allow the Media Team to scale marketing spending efficiently, increase acquisition or retention. The Data Science Intern will partner closely with our Data Analytics, Media, and Product teams to develop high-impact solutions. She/he will be working with a larger data science team composed of individuals with a variety of expertise and focuses within the business.

At TechStyle, you can expect to use Python and SQL every day. For larger projects requiring scale or automation, you’ll likely be working with DataBricks and Airflow. While these are our defaults, you will have the flexibility to use tools that allow you to best fulfill your role. Additionally, we strongly believe in the need for ongoing education and will encourage you to explore new technologies and modeling methods on a regular basis.

Responsibilities:

• Support ad hoc analysis requests related to media optimization, customer acquisition, and retention
• Collaborate on building data visualization, measurement, and statistical analyses that explain and track performance against business KPIs
• Assist in execution and deployment of analytical projects and models
• Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making

Who You Are:

You’re the ideal candidate if you’re detail-oriented, incredibly curious, technically capable, and intrinsically motivated to become an expert in our media systems. As much as you learned in school, you’ve probably learned even more during your late-night hacking sessions. You love spending time with people and enjoy translating complex concepts and methodologies into easily-understood stories.

Minimum Qualifications:

• Preferred majors/minors in Statistics, Applied Mathematics, Computer Science, or related fields
• Comfortable with the basic applications for R or Python (Python preferred) and SQL
• Academic experience with data exploration and preparation techniques (e.g. correlations, distributions, missing data imputation)
• Familiarity with Machine Learning techniques (e.g. regression, classification, clustering)
• Understanding of CS basics (e.g. algorithms and data structures)
• Strong communication skills and ability to explain complex topics to a non-technical audience
  

Preferred Qualifications:

• Comfortable with basic commands and workflow in Git
• Concentration in marketing analytics and digital advertising

The Intern Gig: We are looking for enthusiastic students with ambition to go far. Our full-time paid internship program will give you a chance to gain in-depth knowledge of what it is like to be a part of our fast-paced and innovative company. Our summer internship program will be located in our El Segundo headquarters, and will run for 10 weeks from June 13th-August 19th. Our interns have the unique opportunity to gain real work experience, while participating in skill-building workshops and interactive social activities throughout the duration of the internship assignment.

**YOU MUST BE A RISING JUNIOR OR RISING SENIOR (graduating in 2023 or 2024) UNDERGRADUATE STUDENT ENROLLED AT AN ACCREDITED UNIVERSITY TO BE CONSIDERED FOR THIS INTERNSHIP**

#LI-SD1

About TechStyleOS

TechStyleOS is the globally integrated Operations and Services provider behind some of the fastest growing online fashion brands in history, including Fabletics, Savage X Fenty, JustFab, ShoeDazzle, and FabKids. With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow—across product categories and geographically. From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.

Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable. At Fabletics, Inc., we champion a vibrant workplace culture that thrives on diversity law and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals, who are driven by passion for creating an inclusive space for all. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.

We encourage you to apply regardless of meeting all qualifications and/or requirements.

Please be aware that the Company requires you to be fully vaccinated against COVID-19, and we will require all non-remote new hires working in our Los Angeles office to submit official COVID-19 vaccine documentation. Currently, the Company considers you fully vaccinated 14 days after your second dose in a two-dose vaccine series (e.g., Pfizer or Moderna) or 14 days after a single-dose COVID-19 vaccine (e.g., Johnson & Johnson). The vaccine must have been FDA approved, have emergency use authorization from the FDA, or, for persons fully vaccinated outside of the U.S., be listed for emergency use by the World Health Organization. Anyone unable to be vaccinated, either because of a disability, medical condition or sincerely-held religious belief may request a reasonable accommodation upon active employment. In addition, due to how highly transmittable the Omicron variants is, we are currently requiring all non-remote employees to get a vaccine booster when eligible.