Data Scientist, Cover Genius
$140-185k
+ Stock Options
More information about location
3+ days a week in office
B2B insurance and warranty API
Be an early applicant
B2B insurance and warranty API
501-1000 employees
Be an early applicant
$140-185k
+ Stock Options
More information about location
3+ days a week in office
501-1000 employees
Company mission
To protect all the customers of the world’s largest digital companies.
Role
Who you are
- 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.
- 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
What the job involves
- 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
- 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
Our take
Insurance plans and warranties are staples of a successful digital company, but setting them up is challenging. Businesses must compare and write contracts with insurance providers which require the expensive assistance of legal and financial teams, Add to this the cost of web designers who can embed the service online, and insurance and warranties quickly become unaffordable to smaller businesses.
Cover Genius provides end-to-end APIs called XCover and XClaim for embedding insurance and warranty plans onto online stores, preventing the business from having to compare, arrange and deploy insurance plans themselves. The company's policies are for any business, can be translated into over 40 languages, and are designed to be read easily without unnecessary jargon.
Whilst other insurtech companies offer similar services to Cover Genius, the company has uniquely focused on ensuring its plans are easily readable, translatable, and dynamically priced based on personal requirements. Although the company initially aimed to facilitate insurance and warranty plans for smaller businesses, it also partners with large enterprises such as Ryanair, Amazon, and eBay. In 2024 it secured impressive Series E funding off the back of a year where it achieved 107% year-on-year growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
30% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2024
$80m
SERIES E
Nov 2022
$70m
SERIES D
Total funding: $242m
Company benefits
- Flexible Working Conditions
- Employee Stock Options
- Ongoing Learning
- Paid Parental Leave
- Wellness Initiatives
- When From Home When You Want
- Peer Bonuses and Founder Awards Program
- International Working Opportunities
- GC Gives giveback program, led by the team
Company HQ
Midtown South, New York, NY
Leadership
Angus McDonald
(CEO)They were the General Manager of Emerge Digital. Formerly the VP of International Business Development for iClick Interactive Asia Limited.
Chris Bayley
(CIO)They were the former Business Development Manager for Google. Previously an Investor and Executive Director of Software.com from 2009 to 2019.
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