Data Scientist

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:

• 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: 

• 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: 

• 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: 

• Master’s Degree or PhD in Statistics, Computer Science, Data Science, or related STEM fields 
• E-commerce / marketplaces experience