Senior Data Scientist Beverly Hills, CA

Fashion Nova is an inclusive fashion-forward and trend-driven apparel and lifestyle brand that celebrates all dimensions of confidence. We use our platform to spread positivity with brands for women, men, curve, luxe, sport, swim, beauty, and kids. We are obsessed with creating the best experience available for our customers and employees.

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.

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, etc.
• 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

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