Sr. Data Scientist Bestow Remote

Title Sr. Data Scientist
Date 15 September 2020
Company Bestow
City Remote

Short Description :

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 Collaborate across teams to identify ,…

Full Description :

Who We Are
is a digital life insurance company built on full stack technology and AI. In a world in need of greater financial resilience and protection, 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 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.
Data Science at 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 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 Kubeflowand its associated components.
Machine Learning
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 engineeringafter a model is made, we see it through to production;Communicate with the organization by interpreting models and results for non-technical audiences
Analytics
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. A Little About You:
  • 4+ years of data science experience
  • Programming and Statistics/Mathematics experience
  • Professional experience with a variety of machine learning algorithms
  • Professional experience with columnar databases such as Google BigQuery
  • Experience with Python 3 and Software Engineering principles
  • Experience with notebook and analytical environments (Jupyter, R)Clear, concise written and verbal communication
  • Desire and willingness to learn
  • Display initiative and autonomy as well as cross-team collaboration
Nice To Have:
  • Experience with cluster orchestration and management framework like Kubernetes
  • Experience creating software products, e.g. libraries or web applications
  • Experience conducting experiments and evaluating those results on a statistical basis (A/B testing, t-tests, sample construction)
  • Insurance industry experience in an actuarial, analyst, or related role
What We Can Offer to You:
  • Competitive salary
  • Generous PTO
  • Flexible schedule and work/life balance
  • 100% company-paid health, dental, and vision insurance for yourself and family
  • Choose your computer setup (Mac or PC)
  • Office snacks and weekly team breakfast tacos and lunches
  • Team building events and activities
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.
does not sponsor applicants for work visas at this time.

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