Principal Data Scientist

Description:

If you’re looking for a career that transforms, inspires, challenges, and rewards you, then come join us! Verisk Analytics is a global supplier of risk assessment services and decision analytics for customers in a variety of markets, including insurance, healthcare, financial services, supply chain, and others. We’re a thriving public company with solid revenue growth and earnings and offices worldwide. And we’re continually looking for ways to augment our existing markets and expand into new markets with excellent growth potential. At Verisk, you’ll be part of an organization that’s committed to serving the long-term interests of our stakeholders, including the communities where we operate.

Position Summary

Our Claims Analytics business is seeking an experienced Principal Data Scientist to serve as the lead technical resource in the conception and development of new predictive modeling initiatives. *Candidates could work out of either Jersey City, NJ, Lehi, UT, San Francisco, North Reading, MA or Columbia, SC office.

Responsibilities

  • Mentor and train junior level analysts
  • Manage multiple projects or work streams through all the cycles of the analytical continuum of descriptive, diagnostic, predictive and prescriptive analytics.
  • Act as the resident subject matter expert in developing innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as creating design requirements and project timeline
  • Act as the resident subject matter expert in developing innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as creating design requirements and project timeline
  • Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resources
  • Serve as an enterprise innovation leader on data munging, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets
  • Serve as the leader in model development and validation analyses – from driving pragmatic practice of methods to devising novel solutions and diagnostic measures, to coaching and mentoring junior staff
  • Lead the development and execution of methods to address needed business diagnostics; review, and aid productization and deployment
  • Provide significant input to senior leadership team and Product Management on process improvement, implementation specifications and production testing
  • Act as a leader to develop process and metrics to monitor model performance
  • Review reports and make recommendations for needed model refits / enhancements
  • Provide significant input to Senior Management Team and Product Management on implementation specifications and production testing
  • Research literature to stay current on technical methods to solve specific problems

Requirements

  • Graduate degree (M.S. required, Ph.D. preferred) in a quantitative discipline
  • 6+ years professional experience building predictive and descriptive models
  • Exposure to the property & casualty industry is desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a plus
  • Ability to lead multiple projects from model design to deployment
  • Expertise in diverse statistical and data mining techniques (e.g. – GLM/Regression, Boosting, Random Forest, Trees, Clustering, PCA, SVM, text mining, social network analysis etc.)
  • Expertise in statistical packages in Spark ML-Lib, Python, R, or SAS
  • Strong ability to program in Python, Spark, Scala, R, or SAS
  • Extensive experience working with large datasets in RDBMs and interactive SQL programming skills are a must
  • Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable
  • Demonstrate Subject Matter Expertise in several advanced data science and technological fields

We offer an excellent compensation package. Our benefits package is competitive and includes full healthcare options, a 401(k) plan, and a generous Paid-Time-Off program.

All members of the Verisk Analytics Family of Companies are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other legally protected classification.

#LI-EF1

Location: CA-San Francisco, MA-North Reading, NJ-Jersey City, SC-Columbia, UT-Lehi

Activation Date: Wednesday, December 14, 2016

Expiration Date: Monday, May 1, 2017

Apply Here


Meet Some of Verisk Insurance Solutions's Employees

Richard M.

Manager, Analytical Data Management

Richard identifies the data quality needs and requirements of Verisk customers. He focuses on finding new ways to improve and increase the efficiency of data procedures.

Krystal F.

Manager, Compliance & Product Services

As manager of compliance and product services, Krystal oversees the implementation of insurance filings and requirements, ensuring Verisk Insurance Solutions products and services comply legally.


Back to top