In September 2021, PowerAdvocate became part of Wood Mackenzie. The two businesses have come together, aligning our products, energy data, and technology to meet our customers’ rapidly changing and expanding needs. PowerAdvocate is moving to use the Wood Mackenzie name and brand going forward as we combine our teams and product sets.

By bringing together Wood Mackenzie’s extensive coverage of energy and natural resources with PowerAdvocate’s unique cost and supply chain intelligence, we’re able to provide a greater breadth and depth of market-leading analysis, data, and insight.

We are excited for the future direction of the company and helping to drive forward the energy transition.  Visit woodmac.com to find out more.

Wood Mackenzie Supply Chain, formerly PowerAdvocate, delivers data and insights that make energy and natural resource companies more effective and resilient contributors to the global economy. We do that by providing our customers the right data in the right solution to help them reduce costs, manage risks, and accelerate the transition to renewable energy. At our center sit proprietary data sets and leading data science that we combine with our technology to solve our customers’ most complex business problems. 

We are also a values-led company. We care for each other. We value diversity, equity, and inclusion. We recognize that our individual differences make us stronger.  We are confident and driven, yet practical and humble. We help each other improve with direct, respectful feedback, and we encourage different viewpoints and trust in best intentions.

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 

TECHNICAL SKILLS AND REQUIREMENTS: 

• 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. 

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.

http://www.verisk.com/careers.html

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

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.