PowerAdvocate leads the energy data industry by providing energy companies with clarity into their complex data. Our Energy FactBase, currently at $4+ trillion and growing, helps customers to create operational and financial excellence. We help our clients to understand how they can leverage our unique view of the marketplace to reduce costs and manage operation risk working with executives on the cutting edge in the power, oil and gas, and renewable energy sectors.

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.

ESSENTIAL DUTIES 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

• 0-1 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.

All your information will be kept confidential according to EEO guidelines.

At Verisk, the health and safety of our people is our number one priority.  Effective November 15, 2021, and subject to applicable law, all prospective hires for office based roles or roles that support any of our businesses’ government contracts will be required to demonstrate that they are fully vaccinated against COVID-19 by their start date, or qualify for a legally-required medical or religious accommodation to this vaccination requirement, as a condition of employment. Hired candidates who do not demonstrate that they are fully vaccinated against COVID-19 by their start date, and who have not been approved for a legally-required medical or religious accommodation will no longer meet the requirements for employment and their offers of employment will be immediately rescinded, in accordance with applicable law.