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Lead Data Scientist

Middletown, Connecticut Verisk Analytics

Job ID: ********-11875-YD Company Name: ISO

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 Lead Data Scientist to serve as a technical resource in the conception and development of new predictive modeling initiatives
Responsibilities:
Serve as the lead technical resource in the conception and development of new predictive modeling initiatives. Mentor and train junior level analysts
Support the organizational strategy and manage projects or innovation streams
Suggest and develop innovative analytic methods that result in a technically superior product and/or create a competitive advantage, as well as meet design requirements and project timeline
Lead research, evaluation, and recommendation of internal and external data sources and coordinate with data resources
Serve as the senior technical expert for leadership on data cleansing, variable creation, variable transformation, etc., as well as best-practices in the creation of analytic datasets
Serve as the consummate technical expert 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
Act as senior technical expert in 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 senior technical expert to develop process and metrics to monitor model performance
Review reports and make recommendations for needed model refits / enhancements
Provide 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
4+ years professional experience building predictive and descriptive models
Exposure to the property & casualty industry is highly desirable, and experience with medical, clinical, fraud & abuse and pharmacy data analytics is a plus
Ability to lead complex projects from model design to deployment
Extensive experience working with large datasets
Knowledge, experience, and 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.)
Ability to program and review code in Python, Spark, Scala, R, or SAS is highly desirable
Experience with Big Data technologies like Hadoop, Spark, Hive, NoSQL, etc., and Cloud technologies (AWS, Azure, etc.) is highly desirable
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.
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Requirements:

Expertise Insurance

Education Masters (or equivalent work experience)

Job Type Full Time

Location CT-Middletown

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