Overview
Job Title: Data Scientist, Senior—Enterprise DS & AI Org
Job Level: Senior (14+ Years Experience)
Client: PG&E
Rate: $65/hr
Job Description
Department Overview
The Data Science & Artificial Intelligence Department consists of a "Delivery" team that develops data science and machine learning solutions and a "Center of Excellence" team that supports other practitioners in an enterprise-wide Hub & Spoke analytics adoption model.
As a Delivery team, this Department uses industry-leading data science and change management practices to drive PG&E’s transition to the sustainable grid of the future. The team works cross-functionally across the company to enable data-driven decisions, applying analytics, and improving relevant business processes.
Key Responsibilities
- Lead conversations with business stakeholders and subject matter experts to understand business and subject matter context.
- Scope and prioritize modeling work to deliver business value.
- Apply data science, machine learning, and other analytical modeling methods to develop defensible and reproducible predictive models.
- Serve as the technical lead for the development of computer vision models, leading data labeling, model training, and model evaluation.
- Extract, transform, and load data from dissimilar sources across PG&E for model-building and analysis.
- Write and document Python code for data science (feature engineering and machine learning modeling) independently.
- Document and present data science experiments and findings clearly to other data scientists and business stakeholders.
- Act as a peer reviewer of models and analyses built by other data scientists.
- Develop and present summary presentations to business leadership.
- Present findings and make recommendations to officers and cross-functional management.
- 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.
Job Type: Full-time
Pay: Up to ₹65.00 per hour
Expected hours: 40 per week
Schedule:
- Day shift
Work Location: Remote