Extend
New York, NY
51-200 employees
Providing digital payment infrastructure for trusted banks to democratize business client access to modern card experiences that enable people to achieve more.
Other Open Roles
- Lead Data Scientist, Finance Analytics
- Manager, Fraud Machine Learning
- Senior Data Platform Engineer
- Senior Data Scientist, Fraud Machine Learning
Prior Listings
- Data Platform Engineer
- Data Scientist, Revenue Analytics
- Lead Data Scientist
- Senior Analyst, Warranty Mapping
- Data Scientist, Revenue Analytics
- Senior Machine Learning Engineer
- Technical Product Manager, Data Platform
- Data Scientist, Client Insights
- Senior Actuarial Analyst
- Data Platform Engineer
- Manager, Data Engineer
- Data Scientist, Optimization
- Analytics Engineer
- Manager, Analytics Engineer
- Data Scientist, Risk Analytics
- Data Scientist, Revenue Analytics
- Senior Operations Analyst, Risk Analytics
Lead Data Scientist
Lead Data Scientist
This job is no longer open
About Extend:
Extend is modernizing the $100 billion-per-year extended warranty and protection plan industry using cutting-edge technology, and top-notch customer service. After a $260M Series C financing round, we are ready to continue to scale our organization and grow beyond our $1.6B valuation.
Our API-first solution allows any merchant to offer extended warranties and protection plans, both online and offline, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters.
We are a venture-backed startup based in downtown San Francisco (and since COVID began, fully remote) that is led by founders who have previously had multiple successful exits. Extend is simplifying the technology stack for the extended warranty industry.
About the Role:
In the Senior Data Scientist role at Extend, you will drive to advance the Machine Learning practice by working closely with the data, operations, product, and engineering teams, while tapping into the depths of your quantitative and technical expertise. This role will report to the Head of ML.
What You'll Be Doing:
- Execute on the ML road map based on the business priorities. Collaborate with stakeholders across the organization.
- Create platform analytics to measure and optimize product operations, risk, pricing, and more.
- Manage timely completion of projects from start to finish, per project OKR’s and milestones.
- Partner with cross-functional teams such as data engineering, solution engineering to implement a world-class machine learning infrastructure and production environment. Ensure proper data tracking is set up for features and products, and support debugging and development of new ETL processes.
- Build ML models that outperform state-of-the-art for the domain. Lead and execute the processing and integration of disparate traditional and non-traditional data.
- Create new analyses, models, and/or tools that deliver insights that enable scalable growth, improve client experience, operational efficiency and profitability, across operations, finance, revenue operations, and other internal teams.
- Help mentor junior data scientists and scale the team. Lead cross-functional teams.
What We're Looking For:
- 4-6 years of work experience in data science, AI / ML, with fast-growth startups, or top consulting background. Experience in fintech, retail, insurance, or digital products preferred.
- A curious, entrepreneurial leader with plenty of grit, analytical prowess, creative thinking, and initiative.
- PhD in Statistics, Data Science, Econometrics, Computer Science, Operations Research, or related quantitative degree is preferred.
- Expert command of Artificial Intelligence and Machine Learning, statistical modeling, state-of-the-art tools, and engineering best practices.
- Expert knowledge of data mining techniques and tools with Python, R, SQL, etc. is required. Cloud, Unix, Javascript experience is a plus.
- Expert proficiency interrogating relational data bases with SQL and with using, managing workload with distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.). Experience processing and modeling with unstructured data.
- Proven track record of delivering multiple data science projects spanning scoping, development, testing, implementation, and management. Contributing to and delivering strategic technology that provides long-term competitive advantage.
- Experience in project management, with a proven track record of on-time and within-budget delivery.
- Ability to communicate across the organization, especially to teams with less data & analytics experience.
- Empathy and humility.
Life at Extend:
- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Unlimited vacation policy.
- 401(k) with Financial Guidance from Morgan Stanley.
This job is no longer open