Who We Are
Bestow is a digital life insurance company built on full stack technology and AI. In a world in need of greater financial resilience and protection, Bestow democratizes access to smart financial products and powers some of the world’s leading consumer platforms. We are reimagining and rebuilding a 400-year-old, $7 trillion industry to create a brighter future for millions of families. And we’re just getting started.
The Bestow team is a diverse band of first principles thinkers on a mission to do good. We’re fortunate to be backed by leading investors and partners including Valar Ventures, NEA, 8VC and MunichRe.
We are open to remote in the U.S.
Data Science at Bestow is a rapidly evolving team with a diverse set of problems to solve. We analyze and manipulate massive datasets, build algorithmic models to make predictions, and optimize decision making by reinforcing choices with data.
At Bestow you will be working on all aspects of the data science pipeline from project requirements to production deployment. We use cutting edge machine learning and data warehouse technologies to create a cohesive environment for experimentation and analysis. In addition to the standard suite of analysis tools involved in data science projects, you will be engineering and developing infrastructure and code to facilitate everything from training models to serving those models in production and integrating your products with those of other teams. Communicating results effectively to both technical and non-technical audiences is a skill all of our data scientists must possess as we work closely with the entire organization.
Challenges On Which You Can Expect to Work:
Data Science Infrastructure
Developing and optimizing our Data Science environment is a powerful way for us to enable our team to work efficiently. This also helps us integrate well with other teams by having a secure and standardized way to work and gives us a basis on which to discuss our problems and solutions. We currently use Kubeflow and its associated components.
We leverage Google BigQuery as our data warehouse. We use Jupyter notebooks and Python code to compose sophisticated machine learning pipelines and experiments. Collaborate across teams to identify project requirements and metrics; Perform data analysis and cleaning using a host of ETL tools; Train and tweak machine learning models to make predictions; Use statistical evaluation techniques to refine models over time based on performance metrics; Production engineering - after a model is made, we see it through to production; Communicate with the organization by interpreting models and results for non-technical audiences
We work closely with analytics teams to enable them to do their work effectively as well as refine their insights into predictive analytics through machine learning. This involves acquiring knowledge and insight from various domains and refining it into high-level motivation for decisions within the organization or models to increase our products’ efficacy.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Bestow does not sponsor applicants for work visas at this time.