Data Scientist

The Company  

Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year.

Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20 countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.

Our People are

Bold, Authentic, Purposeful and Inspired

Our People are not

Perfect, Traditional, Complacent or Cautious

As a Data Scientist on our Partner Services Team, you will design and implement high-impact experimentation, price optimization, and product recommendation programs to drive product adoption and revenue growth for our partners.

To excel in this role, you'll bring proven experience in ideating growth initiatives and deploying algorithms for real-time product recommendation and pricing. A strong foundation in statistical and machine learning methodologies is essential, along with significant experience working with the intricacies of machine learning systems, beyond just tool application. You'll collaborate closely with internal product growth teams and external partners to ensure the achievement of key revenue growth metrics.

• Your role will require you to be able to use internal data to formulate and test hypotheses relating to various aspects of business performance.
• You will design and implement algorithms to optimize yield, with a special focus on Contextual Bandits for product recommendation and pricing. 
• You will also be responsible for developing use cases using Large Language Models and multimodal AI tools, with emphasis on model evaluation.
• You will identify opportunities to continuously improve systems and processes.
• Research and closely follow emerging trends in applied AI and associated softwareDefine performance metrics and build reports/ data pipelines.

• 3 years practical, hands-on experience with various Machine Learning and statistical testing techniques.
• Master's or PhD in Physics, Statistics, Mathematics, Computer Science, or other Quantitative fields.
• Familiarity with contextual bandits and revenue management methodologies.
• Hands on experience with deep learning models
• Strong SQL skills.
• Comfortable working in a DevOps environment with a basic understanding of the principles (such as DBT).

• Strong problem-solving skills with a focus on product delivery.
• Exceptional communication, able to explain statistical concepts to diverse audiences.
• A quick learner who embraces new challenges and is not hesitant to push boundaries.

Why Cover Genius?  

Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean?  

• Flexible PTO. Taking time out is important for our teams to enjoy life and stay fresh.

• Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.

• Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.

• Social Initiatives - pictures speak a thousand words!

Sound interesting? If you think you have the best composition of the above, send us your resume and let's chat!

* Cover Genius promotes diversity and inclusivity. We don't tolerate discriminatioin, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

*The cash compensation range for this role is between $140,000 and $185,000.

*This is a hybrid role based in our San Francisco office, with in-office days on Mondays, Tuesdays, and Fridays.

Salary : $140,000 - $185,000