This isn't something we've undertaken on a whim - the founding team brings executive-level experience from Liberty Mutual Insurance and Goldman Sachs, with mastery in actuarial science, computer engineering, math, and finance (MIT, Duke, and the University of Michigan). The rest of the team are key early hires who are experts in their respective fields of statistics, actuarial science, and engineering.
We're backed by a select group of deeply knowledgeable and dedicated investors. Our seed round was led by Gradient Ventures (Google's AI fund) and Obvious Ventures, a socially-minded top-tier VC behind companies like Beyond Meat and Medium, led our recent Series A.
General overview of the role
We are seeking an experienced Senior Data Scientist to design and evolve our core research and model delivery capabilities. You will be integral to establishing our technical workflow as a team - and as the resident data science/engineering expert, we will look to you to explore and integrate new tools and techniques. Reporting to the Senior Director of Research, this highly impactful role offers the opportunity to lead key data science initiatives and interact with business leaders across Technology and Operations within the company. This role requires a self-motivated, high-energy individual who can easily function in a fast-paced, performance-driven environment.
Drive state expansion by enhancing modeling capabilities, development process, and providing ad hoc support
Develop product analytics capabilities to enrich understanding of Agent Behavior and Data Enrichment Accuracy. Operationalize insights.
Design and lead our data science engineering practice – i.e. workflow, management routine, code repository, best practices, etc.
Establish a seamless interaction model with Technology and Reporting that empowers cheap/rapid iteration, and end user flexibility/understanding
Continuously explore and introduce new tools/capabilities to the team (e.g. data science methods/packages, software/tools, data management techniques, etc.)
5+ years of experience in data science, statistics, or developer role working with SQL and Python
Strong understanding of software development lifecycle best practices (e.g. source control, code review, CI/CD, unit testing)
Driven to explore new data processing/data science techniques
Ability to define a complex problem, decompose it into component parts, and manage an automated system with interacting parts
Strong communication and project management skills, and the ability to collaborate effectively with people at all levels across the company
Ability to make decisions in ambiguous situations
Perks & Benefits
Competitive salary, equity position in a start-up company
Generous medical, dental, vision insurance plans, 401k plus match, FSA benefits
Generous and fully company-paid parental leave policy
“Work-from-anywhere” company that has fully embraced remote working, even prior to COVID restrictions
Paid Time Off
Fun, fast-paced, startup environment
U.S. Citizens, Green Card Holders, and those authorized to work in the U.S. for any employer will be considered.
Openly is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Openly is an E-Verify Employer in the United States. Openly will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Before you apply, please check if any restrictions apply in terms of time zone or country.
This job has a geo-restriction in place: USA Only.