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

About the Role:

As a Data Scientist in our core AI hub, you will be the core algorithmic engine driving our global personalization strategy. You will deliver advanced recommendation and pricing algorithms designed to increase product adoption and revenue at an exponential scale.

To drive success in this role, you must have deep experience ideating, building, and deploying ML systems. As a core Data Scientist, you should be comfortable working with the intricate mathematical details of Contextual Bandits, continuous learning loops, and ML systems architecture. Regular collaboration with our internal Domain Data Scientists and Data Engineers will be key to ensuring your algorithms are adopted globally across our product suite.

Key Responsibilities:

• Design, implement, and deploy state-of-the-art algorithms for automated yield optimization, with a primary focus on Contextual Bandits, Reinforcement Learning, and Recommender Systems.

• Shape the personalization methodology toward continuous learning systems that dynamically optimize offerings at the user level.

• Build the Personalization Core Frameworks that Domain Data Scientists (in Travel, Digital Commerce, etc.) can easily plug into for their specific partners, eliminating duplicated scientific effort.

• Partner tightly with the data engineering team to ensure models are robustly deployed, performant in real-time latency conditions, and properly monitored.

• Research and closely follow emerging trends in applied ML (specifically in RL and automated yield management) to maintain our competitive edge, acting as the internal subject matter expert for advanced modeling.

What you will bring:

• Master's or PhD in Physics, Statistics, Mathematics, Computer Science, or other Quantitative fields.

• 5+ years practical, hands-on experience with Machine Learning and statistical testing techniques.

• Deep expertise and hands-on experience building and deploying Contextual Bandits and Reinforcement Learning algorithms in production environments.

• Extensive experience with real-time product recommendation engines, yield optimization, and dynamic pricing models.

• Advanced proficiency in SQL for complex data extraction and Python for modeling and automation

• Exceptional communication skills with the ability to explain complex statistical and algorithmic concepts to internal product and engineering teams.

• Comfortable working in a DevOps environment with a basic understanding of the principles (such as dbt)

Proficiencies and Attributes:

• Strong problem-solving skills with a focus on building highly scalable software and ML products.

• A systems-thinking mindset. You prefer building a machine that solves a problem 1,000 times over solving the problem manually once.

• 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 discrimination, 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.

By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application.  For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.

*This position offers a base salary range of $165,000 - $205,000 annually.