Position Title: Data Scientist, SR - GRID

Position Number: 356161

Location: San Francisco, CA 94105

Position Type: Temporary

Required Skill Set:

AWS, Python, Spark

Position Description:

**Only U.S. Citizens and those authorized to work in the U.S. can be considered as W2 candidates.**
Data Scientist, SR - GRID
Duration: 01/18/2021 to 01/18/2022
Work Location: San Francisco, CA 94105


Position Summary
The Strategic Data Science team is looking to expand on its data science capabilities – the successful candidate will have a unique opportunity to be at the forefront of utility industry analytics. In this role you will work as part of cross functional teams, including other data scientists, technology experts, and subject matter experts to develop data driven solutions. It is the perfect role for someone who would like to continue to build upon their professional experience and gain a comprehensive view of the nation’s most advance smart grid.

Responsibilities:
Analytics and Modeling
• Gather, prepare, and analyze data from disparate sources to produce user-friendly models and actionable insights
• Work closely with domain experts. Develop a working knowledge of rate structures and elements, load shapes, distributed energy resource technologies and policy options
• Develop expertise with grid data, customer demographic information and other structured data sets
• Understand and apply statistical and analytical modeling methods such as classification, regression, clustering, anomaly detection, neural networks, etc. to identify opportunities for operational improvements and develop strategic insights
Communication, Summary Presentation and Visualization
• Appropriately document data sources, methodology, and model evaluation metrics
• Develop and present summary presentations for senior management
• Create streamlined visual tools for end-users
• Work with business partners to advance business processes, based on analytical findings
• Work with team leadership to continually improve analytics at Client via demonstrations, mentoring, disseminating best practices, etc.

Minimum Qualifications
• Degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience
• Minimum of 2 years of relevant experience in data science or advanced analytics (through graduate education or work experience)

Desired Qualifications:
• Excellent oral and written communication skills
• Demonstrated collaboration or paired development work history
• SQL proficiency and experience working with relational databases
• Track record of writing clear and well documented code, preferably in Python
• Strong understanding of statistics and experience developing supervised & unsupervised learning models
• Demonstrated experience with data science best practices, such as version control via Git or similar
• Demonstrated experience with data visualization tools such as Tableau, D3, Plotly, etc.
• Demonstrated experience with model development for decision analysis, forecasting, or other complex quantitative modeling

Beneficial Qualifications:
• Enjoy working on complex multi-stage projects with a diverse team
• Involvement or strong interest in the energy/clean tech industry
• Expressed interest in learning, experimentation, and incorporation of new techniques
• Distributed and cloud-based computing experience
• Experience working with large datasets and knowledgeable about parallelization
• Past experience with advanced metering interval data
• Experience with Palantir (Foundry or Gotham)
• GIS experience