Senior Data Scientist Enterprise DS & AI Org- Local in Bay area preferred 100% remote

Job Title: Data Scientist, Senior-Enterprise DS & AI Org

Job Level: Senior (Over 15 years of experience)

Company:Utility

Location: Remote (work PST time zone)

Key Responsibilities

• Synthesize complex information: Translate insights into decisions and actions. Explain technical concepts such as statistical inference, machine learning algorithms, software engineering, and model deployment pipelines.
• Mathematical and statistical competency: Apply foundational knowledge to data science tasks.
• Develop and coach: Mentor career-level data scientists in data science, AI, and machine learning techniques and technologies.
• Technical proficiency: Strong skills in Python and R.
  
  

Department Overview

The Data Science & Artificial Intelligence Department comprises two teams: the "Delivery" team, which develops data science and machine learning solutions, and the "Center of Excellence" team, which supports enterprise-wide analytics adoption. The department uses industry-leading practices to drive Clients's transition to a sustainable grid, working cross-functionally to enable data-driven decisions and improve business processes. The team tackles a variety of challenging problems, offering opportunities to explore and learn.

Current And Past Projects

• Creating wildfire risk models for asset management prioritization.
• Developing computer vision models to automate asset inspections.
• Predicting electric distribution equipment failure for proactive maintenance.
• Forming the analytical framework for Client's Transmission Public Safety Power Shutoff.
• Optimizing non-wires alternative resource portfolios, such as the Oakland Clean Energy Initiative.
• Building program-targeted propensity models using customer data.
• Investigating anomalous customer natural gas usage to resolve dangerous leaks.
  
  

Position Summary:Client seeks a Data Scientist with experience delivering end-to-end data science products. This role offers the opportunity to advance Clients's triple bottom line of People, Planet, and Prosperity. The successful candidate will lead the development of computer vision models and participate in the full lifecycle of delivery, from initial value discovery to model-building and data product development.

Responsibilities

• Lead conversations with business stakeholders to understand context.
• Scope and prioritize modeling work to deliver business value.
• Apply data science and machine learning methods to develop predictive models.
• Serve as the technical lead for computer vision model development.
• Extract, transform, and load data from various sources for analysis.
• Write and document Python code for data science tasks.
• Present data science experiments and findings to stakeholders.
• Act as a peer reviewer for models and analyses.
• Develop and present summary presentations to business units.
• Build and maintain strong relationships with business units and external agencies.
• Collaborate with cross-functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts.
  
  

Education And Experience

• Minimum: Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field.
• Desired: Master's degree in one of the above areas.
• Experience: Minimum of 4 years in data science (or 2 years with a master's degree).
  
  

Knowledge, Skills, Abilities, And Competencies

• Knowledge of data science standards and processes.
• Competency in software engineering, statistics, and machine learning techniques.
• Proficiency in commonly used data science programming languages and tools.
• Hands-on and theoretical experience with data science/machine learning models.
• Ability to synthesize complex information into clear insights.
• Mastery in systems thinking and structuring complex problems.
• Experience in building computer vision models (desired).
• Experience with AWS technologies (S3, GroundTruth, Sagemaker) (desired).