Verisk is a leading data analytics provider serving customers in insurance, energy and specialized markets, and financial services. Using advanced technologies to collect and analyze billions of records, Verisk draws on unique data assets and deep domain expertise to provide first-to-market innovations integrated into customer workflows. We’ve been delivering predictive analytics and decision support solutions to our customers for nearly 50 years, helping them protect people, property, and financial assets. 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.

At Verisk, you can build an exciting career with meaningful work; create a positive and lasting impact on the business; and find the support, coaching, and training you need to advance your career. Our culture of innovation means your ideas on how to improve our business will be heard. As key contributors to our success, our team members enjoy working in a business-casual, collaborative environment that offers state-of-the-art resources, advanced technologies, and an excellent benefits package

We are currently seeking a data scientist to join our team! 

At PowerAdvocate, data scientists participate in all aspects of the data pipeline development process—from outlining the problem all the way to implementation in production. This includes data extraction and wrangling, database integration, model development and implementation.  Data scientists contribute as part of an Agile team, in a fast-paced environment with high visibility to the rest of the company.  They also participate in broader aspects of each project including communicating ongoing results and outcomes via effective visualizations and other presentation tools, as well as gaining a deeper understanding of the results produced and their applicability to our internal and external customers. 

Roles and Responsibilities

In addition to the following, other duties may be assigned to meet business needs: 

• Extract, clean, audit and prepare data for analysis, relying on well-structured procedures and maintaining reproducibility of results 

• Design experiments to answer targeted questions and conduct exploratory data analysis  

• Analyze and judge the quality of data produced and proactively develop and implement solutions to data quality issues 

• Visualize and present results of analyses 

• Implement and maintain databases relevant to analytic solutions being developed 

• Develop and maintain data pipelines to deliver data to multiple parties 

• Interface with primary team members to construct, maintain, and automate client-related data to support other analyst teams in the Spend Intelligence & Cost Intelligence Groups 

• Develop both academically rigorous approaches and pragmatic quick-and-dirty-yet-useful tools for the real world 

• 1-3+ years of relevant experience in Data Science, Statistics, Data Engineering, or Machine Learning projects 

• Full-stack data science/data engineering experience  

• Proficiency in Python; additional languages a plus 

• Solid understanding of SQL and relational database models 

• Basic shell scripting knowledge 

• Experience using scikit-learn/TensorFlow or other modeling tools for preliminary analysis and production-level solutions 

• Experience with Flask and/or related frameworks a plus 

• Experience with Airflow, Kubernetes, Docker and/or related data pipeline tools a plus 

• Proficiency in data profiling, cleaning, and mining 

• B.S./M.S. in a quantitative discipline: Data Science, Computer Science, Engineering, Data Engineering, etc. 

Unsolicited resumes sent to PowerAdvocate, including unsolicited resumes sent to a PowerAdvocate business mailing address, fax machine or email address, or directly to PowerAdvocate employees, will be considered Verisk property. PowerAdvocate will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.