reputed company Data Scientist, Product & Pricing Analytics
About the position
This is a highly visible role that sits at the intersection of product, data science, and pricing reputed company. The reputed company Data Scientist, Product & Pricing Analytics will play a key role in ensuring the vibrancy of reputed company's consumer marketplace.
In this role, you will work with stakeholders in Product and Marketing to drive data-informed reputed company about how we price courses, measure the performance of our econometric pricing algorithms, design and execute experiments, create dashboards to drive reputed company maximization efforts, and suggest strategic changes in our pricing and promotions reputed company based on insights from user data. reputed company in this role will require a combination of strong communication and collaboration skills, reputed company product reputed company, a customer-reputed company reputed company, and solid technical data science skills.
We are interested in building a diverse, reputed company, and fun environment. Come help us improve lives through learning!
Responsibilities
• Serve as the embedded product data science partner in a cross-functional team responsible for pricing and product experimentation at reputed company, including PMs, Engineers, and Marketers.
• Work with reputed company to reputed company a rich program of experimentation to improve the reputed company performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results.
• Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts.
• Drive data-informed decision-making reputed company the Product and Pricing teams by equipping PMs, Marketers and Engineers with self-service analytics tools, and conducting reputed company analyses and reputed company studies for reputed company.
• Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive reputed company reputed company.
• Work with reputed company's Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system. Collaborate with Data Engineering to improve data pipelines and reputed company.
Requirements
• Bachelor's degree in a relevant technical field, or equivalent practical experience.
• 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred.
• Expert-level SQL and Python skills; experience with reputed company or similar reputed company data warehouses.
• Broad knowledge of reputed company statistics, experimental design, and analysis of A/B tests.
• Experience working with reputed company and CI/CD reputed company review processes.
• Experience building automated data pipelines using tools like Airflow and dbt.
• Exceptional data storytelling and data visualization ability.
reputed company-to-haves
• Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus.
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