Job Url: https://www.remoterocketship.com/company/extend/jobs/senior-data-scientist-machine-learning-united-states-remote

Job Description: 
Extend
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Extend is a company that helps merchants generate revenue and protect their customers through modern product and shipping protection solutions. They offer protection plans from product failure and accidental damage to shipping issues like porch pirates and damaged deliveries. 

Extend provides a platform that is easy to integrate with eCommerce platforms like Shopify and BigCommerce. This enables merchants to easily offer protection plans and manage claims, with most being resolved in 90 seconds or less. 

The company focuses on improving profit margins and enhancing the customer experience by offering easy claim filing and turning customers into long-term advocates. 


201 - 500 employees

🛍️ eCommerce

🔌 API

🤝 B2B

Senior Data Scientist - Machine Learning
11 hours ago

🇺🇸 United States – Remote

💵 $138.8k - $161.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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📋 Description
• Build deep-dive analyses and eventually machine learning models to better forecast risk across the portfolio for our insurance captive for contracts and claims activity.
• Platform-wide analytics to confirm the product is working as expected.
• A/B testing and optimization across consumer-facing product touch points on merchant sites.
• Working with Data Engineering and Product to ensure proper analytics tracking is set up.
• Work closely with RevOps as technical resource to build data platform to determine sales comp planning.
• Manage tests for specific merchants and generate data for case studies and GTM messaging strategies.
• Drive portfolio-wide revenue optimization and communication to merchants based on testing across our platform.
• Work with our Risk & Insurance team to build analytics and machine learning models to forecast risk.
• Create platform analytics to confirm product operation is as expected.
• Perform exploratory data analysis to assemble metrics and KPIs.

🎯 Requirements
• Bachelor’s degree in Data Science, Statistics, Mathematics, or closely related field or foreign equivalent
• 1 year of experience in analytics, management consulting, finance, or strategic operations, or closely related position
• Experience in programming languages including Python and R.
• Perform data analysis to assemble metrics and assess KPIs.

🏖️ Benefits
• Competitive salary based on experience, with full medical and dental & vision benefits.
• Stock in an early-stage startup growing quickly.
• Generous, flexible paid time off policy.
• 401(k) with Financial Guidance from Morgan Stanley.

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