Data Science Director
- Boston, MA, USA
- Verisk Business: Power Advocate, Inc.
- Department: Data Science
PowerAdvocate leads the energy data industry by providing energy companies with clarity into their complex data. Our Energy FactBase, currently at $3+ 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 develop applied Machine Learning solutions with the goal of scaling and automating the classification of millions of records of our clients’ supply chain data. For ten years, we have been classifying our clients’ purchasing transactions into our industry-specific categorization schema. This gives us an inordinate amount of training data – millions of rows of classified transactions representing over $3+ trillion of spend. That’s not a typo – three trillion dollars! Our efforts are focused on deploying fully-integrated Machine Learning algorithms to assist our industry experts in leveraging their knowledge at greater scale and efficiency. We have a fertile ground of training data, a can-do entrepreneurial spirit and appreciation for robust and effective analytics approaches to delivering value. To learn more about PowerAdvocate please visit us at: http://marketing.poweradvocate.com/. We are proud to be a part of the Verisk family of companies!
With a history of impressive growth, an innovative culture, and offering industry-leading solutions, Verisk Analytics is an amazing place to work and make a difference. In 2018, Forbes magazine named Verisk to its World’s Best Employers list and, in 2017, to its World’s Most Innovative Companies list for the third consecutive year. We also earned the Great Place to Work® Certification for the third consecutive year in recognition of our outstanding workplace culture.
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.
Do you love to turn large datasets into meaningful stories and actionable intelligence? Do you want to be involved in delivering the next generation of analytic solutions using Statistical/Machine Learning methods and a range of Big Data technologies? Do you take pride in developing a team who takes ownership of projects, works well in cross team projects and delivers meaningful results to customers? Join a team where you are encouraged to explore, learn, and push boundaries.
As the leader of PowerAdvocate’s Data Science team, the Data Science Director manages a team and rolls up their sleeves to actively participate in all aspects of the algorithm testing and development process—from data extraction and wrangling, through effective database integration solutions to model development and implementation. The Director contributes as part of an Agile team, in a fast-paced environment with high visibility to the rest of the company. He or she also participates 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 customers.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
In addition to the following, other duties may be assigned to meet business needs:
•Lead a team of data scientists (currently 6) including hiring, training, developing, and coaching; managing performance and career development
•Effectively communicate across teams at all levels of organization including parent company Verisk
•Provide oversight and guidance as needed, sometimes rolling up their sleeves to do the work, that includes:
oExtract, clean, audit and prepare data for analysis, relying on well-structured procedures and maintaining reproducibility of results
oDesign experiments to answer targeted questions and conduct exploratory data analysis
oAnalyze and judge the quality of data produced and proactively develop and implement solutions to data quality issues
oPresent and visualize interim and final results of analyses
oImplement and test algorithms and techniques relevant to achieving project objectives
oMaintain and develop, as needed, ETL pipelines and databases relevant to analytic solutions being developed
oInterface with primary team members to construct, maintain, and automate client-related data to support other analyst teams in the Spend Intelligence Group
•Translate business objectives into actionable analysis
•Manage a full data science stack: development, deployment, validation, management
•Provide insight into the development of new customer products and internal uses for PowerAdvocate’s vast database of information
•Experience guiding teams through effective approaches to data extraction, data auditing, and exploratory data analyses
•Develops clear workflow / implementation plans based on chosen approaches
•Has a sharp eye for detail coupled with capacity for planning, organizing and analyzing large-scale complex data projects
•Demonstrates solid interpersonal skills to work cooperatively with a diverse team to deliver superior results in an Agile development environment
•Maintains working relationships across both technology and product groups
•Communicates findings clearly to both technical and non-technical audiences
•Demonstrates the ability to shift between academically rigorous approaches and pragmatic quick-and-dirty-yet-useful tools for the real world
•Is open-minded about new approaches and tools for achieving the goals of our customers
TECHNICAL SKILLS AND REQUIREMENTS:
•10+ years of relevant experience in Data Science, Statistics, Econometrics or Machine Learning projects
•High proficiency in a range of statistical / modeling tools, including time-series forecasting
•Wizard at data extraction, loading, and transformation pipelines
•Solid programming skills in at least one object-oriented language (Python, Java, or C++)
•Familiarity with relational databases and advanced knowledge of SQL
•Experience with data visualization tools including, Matplotlib and Plotly
•Experience working distributed data tool such as, Airflow and Spark
•Experience with Flask or related frameworks a plus
•B.S./M.S. in a quantitative discipline: Econometrics, Statistics, Applied Mathematics, Operations Research, Computer Science, Economics, Engineering
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.
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.