Position Summary:
We are seeking very capable individuals wishing to marry their strong passion and aptitude for the leading edge of data science with a desire to expand the promise of innovation. The successful candidate will bring to bear considerable academic credentials and a deep portfolio of experiences. The Data Scientist is expected to serve as a thought leader and play a key role in envisioning, developing, and deploying the data science and AI solutions. A successful candidate will be comfortable in a fluid, entrepreneurial, and very high-paced environment, but one that is focused on developing reusable software applications, not bespoke analytical solutions. We look for problem solvers with a history of demonstrated excellence. Our team is focused on building successful careers. As such, the successful candidate will have an opportunity to participate in a myriad of projects and career-shaping experiences working alongside some of the most innovative minds in Energy.
Key Responsibilities:
- Works with a variety of datasets, including timeseries data and “big data” requiring analysis on distributed computing platforms
- Prepares comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses
- Writes software in R, Python or similar languages and contributes code to product development teams
- Performs other job-related duties as assigned
- Develops machine learning, optimization and other modeling solutions
Required Education & Experience:
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management. (Preferably in Python of Spark)
- Bachelor’s Degree
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Doctoral Degree
- Write’s software in Scala (Spark), R, Python or similar languages and contributes code to product development teams
- Experience: 2+ years
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Master’s Degree
- Strong analytic skills related to working with unstructured datasets.