Senior Data Scientist

Verikai stands apart from traditional insurtech companies. As a remote-first team, we're fueled by a commitment to cultivating top talent. Here, you'll thrive in a collaborative environment that celebrates integrity, teamwork, and inclusivity. Diverse perspectives are valued, and a "dare to fail" spirit fuels groundbreaking innovation.

This dedication to fostering talent is central to our mission. We're revolutionizing the insurance industry through cutting-edge technology, and we're looking for passionate individuals to join us on that journey.

Verikai is the leading provider of predictive analytics and AI-powered solutions for the insurance industry. Through our innovative platform, Verikai empowers insurers with advanced data-driven risk assessment insights, streamlining the underwriting process and optimizing business outcomes. With a commitment to technological advancement, Verikai is changing the insurance industry by assisting underwriters with decision-making when it comes to risk.

We are a growing and well-funded company with a great product and even better ideas. If you want to make an immediate impact on the way the insurance industry works while working in a fun, fast-paced, and supportive environment, you’ve come to the right place.

As part of the analytics team at Verikai, you will be in front of real customer issues and the data they generate in real time. You will be tasked with analyzing large-scale datasets and rewarded by witnessing your analysis been leveraged by the customers and creating tremendous value for them. You will have the opportunity to train yourself, with help from more senior team members, on using various data tools to analyze various types of complex datasets. You will also be able to manipulate our cutting-edge machine learning platform and improve it to build insightful models while learning and practicing how to build a truly operational model. Our culture will allow you to work closely with all aspects of the business, and really shine on building up our analytics process and infrastructure.

Responsibilities

• Develop cutting-edge machine learning algorithms, complement to our proprietary modeling platform, to extract greater lift from our data and provide more value for the customers
• Refine / tailor our proprietary machine learning algorithm to better fit into various scenarios presented by the customers and our own visions
• Constantly look for useful attributes to expand our core data assets from various data sources, like US census bureau, and validate the usefulness of the new data
• Utilize proper tools to clean customer data, like PySpark, R, Python, or Excel, to prepare for upcoming data analysis or modeling exercises
• Conduct descriptive analysis or other statistical analysis on customer data to identify valuable patterns to guide customers’ business decisions. Analyze the data creatively so that the results directly meet what customers want
• Help prepare presentations or other customer-facing materials to demonstrate the value of our insights and to educate the customers on what we did and how we did it
• Present the results / findings / models to customers as a technical expert, an industry insider, and a company promoter

Skills and Qualifications

Security, Confidentiality, and Availability

Company : VERIKAI Verikai Inc.

Salary Range :

154,000.00 -$174,000.00

Benefits :

The wage range for this job is based on role, level, and location. Within the range, individual pay takes into account a variety of factors that are considered in making compensation decisions including but not limited to skills, education, training, licensure and certifications, experience of the candidate, the role's scope, complexity, and other business and organizational needs. In addition to the base compensation, we offer a competitive Total Rewards package, which includes but is not limited to medical, dental, vision, paid time off, and 401(k) plan for full-time and part-time employees who are eligible for benefits.

Your recruiter may be able to tell you more about our total rewards offerings and the specific wage range for the relevant location(s) during the hiring process.