Data Scientist / Machine Learning Engineer

Kalepa Insurance


1 month ago

08/16/2019 10:21:23

Job type: Full-time

Hiring from: US only

Category: All others


Kalepa is looking for Data Scientists to lead efforts at the intersection of machine learning and big data engineering in order to solve some of the biggest problems in commercial insurance.

Data scientists at Kalepa will be turning vast amounts of structured and unstructured data from many sources (web data, geolocation, satellite imaging, etc.) into novel insights about behavior and risk. You will be working closely with a small team in designing, building, and deploying machine learning models to tackle our customers’ questions.

Kalepa is a New York based, VC backed, startup building software to transform and disrupt commercial insurance. Nearly one trillion ($1T) dollars are spent globally each year on commercial insurance across small, medium, and large enterprises. However, the process for estimating the risk associated with a given business across various perils (e.g. fire, injury, malpractice) is still reliant on inefficient and inaccurate manual forms or outdated and sparse databases. This information asymmetry leads to a broken set of economic incentives and a poor experience for both businesses and insurers alike. By combining cutting edge data science, enterprise software, and insurance expertise, Kalepa is delivering precision underwriting at scale – empowering every commercial insurance underwriter to be as effective and efficient as possible. Kalepa is turning real-world data into a complete understanding of risk.

Kalepa is led by a strong team with experiences from Facebook, APT (acquired by Mastercard for $600M in 2015), the Israel Defense Forces, MIT, Berkeley, and UPenn.

About you: 

You want to design a flexible analytics, data science, and AI framework to transform the insurance industry 

You have demonstrated success in delivering analytical projects, including structuring and conducting analyses to generate business insights and recommendations 

You have in-depth understanding of applied machine learning algorithms and statistics 

You are experienced in Python and its major data science libraries, and have deployed models and algorithms in production 

You have a good understanding of SQL and non-SQL databases 

You value open, frank, and respectful communication 

You are a proactive and collaborative problem solver with a “can do” attitude 

You have a sincere interest in working at a startup and scaling with the company as we grow

As a plus: 

  • You have experience in NLP and/or computer vision 

  • You have familiarity with Spark, Hadoop, or Scala 

  • You have experience working with AWS tools

What you’ll get 

Work with an ambitious, smart, and fun team to transform a $1T global industry 

Ground floor opportunity – opportunity to build the foundations for the product, team, and culture alongside the founding team 

Wide-ranging intellectual challenges working with large and diverse data sets, as well as with a modern technology stack 

Competitive compensation package with a significant equity component 

Full benefits package, including excellent medical, dental, and vision insurance 

Unlimited vacation and flexible remote work policies 

Continuing education credits and a healthy living / gym monthly stipend

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