Data Scientist

Company: CURATED
Location: San Francisco
Posted on: April 24, 2024

Job Description:

Curated is on a mission to help people find exactly what they're looking for
Whether it's your first snowboard, a brand new baby stroller, or a much needed upgrade to your coffee machine - shopping is hard when the stakes are high. We make it easy by connecting customers with Real Experts who can answer their needs faster. -
Curated is the home of America's biggest community of Real Experts
Real Experts aren't sales assistants. They're people living ordinary lives, who also happen to be obsessively passionate about something. They have real, on-the-ground, lived experience - they're not proficient in tennis, they're fluent in it.
Making high-stakes purchases easier is only the beginning
Our Real Experts connect with customers in ways that would be unimaginable in any other retail context. They work hard to understand your needs, trade stories, help make plans, and keep in touch.
It's why customers are obsessed with Curated - and why our Real Experts have a 4.96 average star rating over 85,000+ reviews. About the role:
Curated, Inc. is seeking a Data Scientist that will sit within Curated's Data and Analytics team. Our team is focused on helping make informed, strategic, data-driven decisions across Curated. Our team is a dynamic blend of data scientists, data engineers, and data analysts, each bringing unique skill sets and perspectives to the table. Together, we play a crucial role in empowering functions across Curated. -
Our Impact:

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• Empowering Decision-Making: At the core of our mission is the commitment to enable better business decisions. We achieve this by providing critical data and metrics across all levels of the organization.
  
• Collaborative Support: We work hand-in-hand with our product teams (Consumer, Growth, Expert, and Platform) as well as our operations teams (Supply Chain, Merchandising, Marketplace, Expert Ops, Finance, Category Management, and Support). Our collaboration ensures that these teams have the necessary data to drive innovation and efficiency.
  
• Powerful models: our team builds models that help ensure the strength and growth of our marketplace. -
  
• Comprehensive Data Handling: Our purview covers the entire extract-load-transform process. This comprehensive approach allows us to manage and optimize data from its inception to its final use in decision-making.
  
• Empowering Self-Service Analytics: We don't just provide dashboards; we equip our teams with the tools and knowledge to independently visualize and analyze data. This empowerment fosters a data-driven culture across the company, encouraging all teams to leverage data in their daily operations.
  
  Responsibilities: -
  
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  • Model Development and Implementation: Lead the development and execution of advanced models to address key business questions, particularly focusing on our marketplace dynamics.
    
  • Data Analysis and Interpretation: Utilize quantitative methods and clear data presentations to enhance company-wide understanding of our business drivers.
    
  • Analytics and Reporting: Design and execute comprehensive analytics projects, including experiments, reports, and dashboards, leveraging SQL, R, Python, or comparable tools.
    
  • Product Enhancement through Data: Employ statistical methods and hypothesis testing to aid our product and engineering teams in validating findings and refining product recommendations.
    
  • Marketplace Insights: Deliver key insights to inform business and product strategies, focusing on marketplace trends, user behavior, and long-term projections.
    
  • Metric Optimization: Identify and analyze key performance levers to influence vital metrics and propose actionable strategies.
    
  • Continuous learning: stay updated with latest trends and technologies in data science, contributing to the continuous improvement of our data and experimentation frameworks. -
    
    Basic Qualifications: -
    
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    • Bachelor's degree in computer science, engineering, information technology, or a related field
      
    • 3+ years experience using data science and machine learning to solve real-world problems -
      
    • Strong programming skills -
      
    • Curiosity and excitement around learning new tools and techniques -
      
    • Fundamental knowledge of SQL and experience with database technologies -
      
    • Experience working in highly cross-functional environments and strong communication skills -
      
      Preferred Qualifications: -
      
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      • Master's Degree or PhD in Statistics, Computer Science, Data Science, or related STEM fields -
        
      • E-commerce / marketplaces experience - -
        
        While these qualifications are typical of a strong candidate, they are not exhaustive and not required unless noted. We take a holistic approach to hiring and would love to connect if this sounds interesting to you!
        About Curated
        Curated was founded in 2017 to humanize online shopping. Backed by Forerunner, Greylock, and CapitalG, we've built a collaborative shopping experience brought to life by passionate experts. Every shopper on Curated gets one-on-one personalized advice to find the perfect product, so they can enjoy more of what they love.
        Through our expert community, Curated has created a new type of knowledge economy that enables people to earn meaningful income by sharing their expertise, from anywhere. -
        Curated is an equal opportunity employer. We encourage candidates of all backgrounds to apply, as we strive to build a marketplace that serves every demographic with the highest level of quality and respect.

Keywords: CURATED, Tracy , Data Scientist, Other , San Francisco, California