Data Scientist, Expert- GRID
San Francisco, CA

Job Description

Data Scientist, Expert- GRID Req I D

PG-11048

Rate

Primary Skills

Description

Qualifications:

* LOCAL CANDIDATES HIGHLY PREFERRED*

TOP THREE -

1) written and oral communication skills (for engaging with stakeholders and teammates),

2) experience with machine learning model development (for both development and coaching purposes),

3) commitment to a collaborative development process (the team approaches every project as a cohort)

Seeking on site data scientist (not software development or data engineering, but data scientist) who can oversee and assist with the development of a diverse set of models. The responsibilities for the position include project support, but are truly focused on technical leadership. As such communication skills and approachability are important.

Required Qualifications:

* Excellent oral and written communication skills
* Degree in computer science, engineering, applied sciences, mathematics, statistics, econometrics or similar quantitatively focused subject areas or job-related experience • Minimum of 10 years of relevant experience in data science or advanced analytics (through graduate education or work experience)
* Demonstrated collaboration or paired development work history
* Demonstrated proficiency and experience working with relational databases, preferably in SQL
* Demonstrated proficiency writing clear and well documented code, preferably in Python
* Demonstrated proficiency with data science best practices, such as version control via Git or similar
* Demonstrated proficiency data visualization tools such as Tableau, D3, Plotly, etc.
* Demonstrated proficiency with model development for decision analysis, forecasting, or other complex quantitative modeling
* Demonstrated experience working with large datasets and knowledgeable about parallelization
* Strong understanding of statistics and experience developing supervised & unsupervised learning models
* History mentoring and teaching others as well as desire to continue to do so

Desired Qualifications:

* Enjoy working on complex multi-stage projects with a diverse team
* Involvement or strong interest in the energy/clean tech industry
* History mentoring and teaching others
* Familiarity with transmission and/or distribution power flow models
* Past experience with advanced metering interval data
* Experience in data engineering tools like Kafka
* GIS experience

Responsibilities:

Team Overview The Strategic Data Science team utilizes advanced modeling and data science to drive Client's transition to the sustainable grid of the future through quantitative decision-making. This work moves beyond descriptive reporting and is focused on driving the business forward through applied statistics, predictive and prescriptive analytics, and insightful tool design. The cornerstone of these high value analytics is one of the largest smart meter usage databases in the industry, that when combined with billing, program engagement, customer demographic, grid, and other data sources has unprecedented potential.

Past projects include:

* Assessing the impact and viability of grid edge technologies and distributed energy resources
* Forecasting market potential, and adoption of demand side management technologies, programs, and services
* Optimizing non-wires alternative resource portfolio, location, and performance
* Analyzing customer demographic, program participation and SmartMeter interval data to build program targeting propensity models
* Supervised and unsupervised machine learning models using Python and Spark, executed on AWS
* A selection of past presentations, awards, and papers are online. Additional examples available upon request Position Summary We are looking for a Principal Data Scientist to work on one or more of the areas mentioned above. The Strategic Data Science team is looking to expand on its data science capabilities -- you 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.