Job summary
Job post source
This job is directly from Fancy
Job overview
The Data Scientist role at Fancy is crucial for transforming complex datasets into actionable insights that drive product innovation, customer experience, and company growth.
Responsibilities and impact
The Data Scientist will design and implement machine learning models, conduct A/B testing, analyze large datasets, collaborate cross-functionally, deploy models into production, monitor model performance, and contribute to best practices in experimentation and AI governance.
Experience and skills
Candidates must have a Master's degree in a quantitative field, 3+ years of data science experience, strong programming skills in Python or R, advanced SQL, experience with machine learning libraries, and familiarity with cloud data tools; production deployment experience and knowledge of financial or behavioral analytics are preferred.
Company overview
Fancy is an e-commerce platform that blends social networking with online shopping, allowing users to discover, collect, and purchase unique products curated by a global community. The company generates revenue primarily through direct sales, affiliate partnerships, and a marketplace model that enables brands and independent sellers to list their products. Founded in 2009, Fancy gained attention for its visually driven interface and early adoption of mobile commerce, attracting notable investors and celebrities. The platform emphasizes design-forward, lifestyle-oriented goods, catering to trend-conscious consumers seeking novel items. Candidates should be aware of Fancy’s history of innovation in social commerce and its focus on user engagement and curated experiences.
How to land this job
Tailor your resume to emphasize your expertise in designing and implementing machine learning models for key business applications like credit underwriting, LTV prediction, and churn forecasting, as these are central to Fancy's Data Scientist role.
Highlight your experience in optimizing models for production environments focusing on accuracy, scalability, and maintainability, along with your skills in A/B testing and statistical analysis to support product and marketing strategies.
Apply through multiple online channels including Fancy's official corporate careers page and LinkedIn to maximize your application visibility and improve your chances of being noticed.
Connect with current Data Scientists or Product team members at Fancy on LinkedIn; initiate conversations by referencing recent Fancy product innovations or asking about their approach to integrating data science into product development.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'predictive modeling,' 'Python,' 'SQL,' 'A/B testing,' and 'cloud data warehousing' to ensure your resume passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications across multiple platforms and identify potential LinkedIn contacts, saving you valuable time and increasing your job search efficiency.
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