Senior Data Scientist

ABOUT US

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, 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

• Five plus years of hands-on experience in building and deploying machine learning models, particularly for time series forecasting
• Strong proficiency in Python and SQL. Experience with libraries like Pandas, NumPy, scikit-learn, TensorFlow, and PyTorch is a plus
• Proven ability to work with large datasets and develop robust data pipelines
• Advanced understanding of statistical concepts and methodologies
• Experience working with eCommerce data is a significant advantage
• Experience in setting up A|B testing frameworks and analyzing results
• Experience working with cloud technologies like AWS and GCP is a plus
• Excellent communication and presentation skills to effectively communicate complex technical concepts to both technical and non-technical audiences
• Experience building dashboards and visualizing data to convey actionable insights
• Ability to work independently and as part of a team
• Ability to work efficiently in a fast-paced environment
• Master's degree or Ph.D. in Statistics, Data Science, Computer Science, or a related field.
• Schedule of this position: Monday – Friday | Core business hours | Onsite

BENEFITS 

• Formalized career paths
• Flat management platform
• Manager Training Academy
• Creative Development Internship Program
• Fashion Nova Cares Program
• Flexible Paid Time Off (PTO)
• Medical, Dental and Vision Coverage
• 401k match, with immediate vesting upon eligibility
• Stocked kitchens with gratis snacks and drinks
• Weekly catered lunches
• Summer Fridays at Headquarters
• Team bonding events and programs
• Employee discounts

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.

•

Last updated on Aug 7, 2024