Data Scientist
78% FlexFull Remote
Mid-level (2-5 years)
- Remote from:United States
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Data Scientist
78% Flex
Offer summary
Qualifications: Master's or PhD in relevant fields, 4+ years practical experience in ML and statistics.
Key responsabilities:
- Formulate hypotheses using internal data
- Implement algorithms for yield optimization and product recommendation
Cover Genius
InsuranceScaleup201 - 500 Employees
HQ: New York
aboutCover Genius
Job description
Your missionsThe Company
Cover Genius is a Series D 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 on our Partner Services Team, you will deliver experimentation, price optimization and product recommendation programs for our partners to increase product adoption and revenue.
To drive success in this role, you will have experience ideating growth initiatives and deploying algorithms to address real-time product recommendation and pricing use cases. As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application. Regular collaboration with internal product growth teams and external partners will be key in ensuring revenue growth metrics are achieved.
What will your day look like? You will...
To help us level up, you'll ideally have:
To be successful, you'll bring:
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!
Salary Range
The base salary range for this role is between $180,000 and $245,000. The total compensation package also includes equity, and the opportunity for additional earnings through our annual bonus or variable commission plans.
We believe in transparency, and this salary range bracket is designed to provide a clear understanding of the potential earnings associated with this role. Your skills and contributions are highly valued, and we look forward to welcoming you to our team.
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.
Required profile
Experience
Level of experience :
Mid-level (2-5 years)Industry :
Spoken language(s)
Check out the description to know which languages are mandatory.
Hard Skills
Soft Skills
- Strong problem-solving and communication skills
- Quick learner embracing new challenges
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