What are the responsibilities and job description for the Senior Data Scientist position at Fashion Nova?
About Us
Fashion Nova is the world's leading trend-to-market fashion and lifestyle brand with high-growth categories across its Women, Men, Kids and Beauty divisions. Renowned for delivering the most-wanted styles to millions worldwide, Fashion Nova earned the title of the Top 5 Most-Searched Fashion Brand on Google in 2022, alongside Louis Vuitton and Nike.
Founder & CEO Richard Saghian launched the brand in 2006, from a retail location in Los Angeles. After multiple store openings, Saghian launched the e-commerce website for Fashion Nova in 2013, pioneering a disruptive social commerce model of affordable, on-trend, size-inclusive clothing online- powered by an innovative, social media-first marketing strategy.
Today, Fashion Nova has amassed over 40 million social media followers, with annual sales of approximately $2 billion!
The brand's name has been featured in chart-topping hit songs by Cardi B, Drake, 21 Savage, Saweetie, The Game, Tyga and Offset and its styles have been worn by many celebrities, artists and athletes including Meg The Stallion, Ice Spice, Chris Brown, Floyd Mayweather, Rick Ross, Kourtney Kardashian, and Kylie Jenner.
Fashion Nova was built on the backbone of individuality and inclusiveness. Our brands are worn and celebrated worldwide by customers, celebrities, and influencers because of our uniquely creative and talented employees.
ROLE OVERVIEW
We are looking for a product focused Senior Data Scientist that will be instrumental to the creation, growth, and iteration of our expanding data product suite. Using our shopper data, this person will leverage their extensive knowledge of data science and big data tools to build the algorithms that power the actionable insights used by our customers to grow their business.
KEY RESPONSIBILITIES
- Conduct in-depth data analysis to identify patterns, trends, and anomalies in eCommerce data, uncovering key drivers of demand
- Develop and implement time-series and machine learning models for demand forecasting, leveraging various techniques like ARIMA, Prophet, LSTM, etcetera
- Utilize statistical methodologies and data visualization techniques to present data insights and recommendations to stakeholders
- Distill complex data into actionable insights and build interactive dashboards that provide key performance indicators and business intelligence
- Collaborate with cross-functional teams (E.G., PRODUCT, MARKETING, FINANCE) to understand their data needs and translate them into data-driven solutions that drive business forward
- Design and implement A|B testing frameworks to evaluate the effectiveness of marketing campaigns and product features
- Build data pipelines and automate model training and deployment processes
- Evaluate model performance and identify areas for improvement
- Remain updated on the latest advancements in machine learning and data science
- Contribute to the development of best practices for data analysis and modeling within the team
ROLE REQUIREMENTS
BENEFITS
Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.
NOTICE AT COLLECTION
