Principal Data Scientist - Predictive ML for Electric Risk

Global Technical Talent, an Inc. 5000 Company; Oakland (CA); Hybrid; USD 206,640 - 216,283; Full time

Benefits offered by this job

Medical, Vision, and Dental Insurance

401k Retirement Fund

Job summary

Global Technical Talent, an Inc. 5000 Company, is seeking a Principal Data Scientist for a 12-month contract in Oakland, CA. The role requires hybrid onsite presence with roughly one day per week on site.

Candidates will build predictive models and data pipelines using PySpark, and will work with multiple stakeholders across the organization. The ideal candidate will hold a Master’s degree in a relevant field, with Doctorate preferred, and have at least 8 years of experience in data science.

Qualifications

• Master’s degree in a relevant field is required.
• Doctorate degree is preferred for advanced research.
• Experience with PySpark and UI development is essential.

Responsibilities

• Research and apply advanced data science principles to inform business decisions.
• Develop and validate predictive models and data pipelines.
• Extract, transform, and load data from diverse sources for feature engineering.
• Design reusable data science functions, modules, and workflows.
• Communicate results and recommendations to senior management.

Skills

PySpark

UI development

Cross-functional collaboration

Education

Master’s Degree

Doctorate Preferred

Job description

Global Technical Talent, an Inc. 5000 Company, is seeking a Principal Data Scientist for a 12-month contract in Oakland, CA. The role requires hybrid onsite presence with roughly one day per week on site.

Candidates will build predictive models and data pipelines using PySpark, and will work with multiple stakeholders across the organization. The ideal candidate will hold a Master’s degree in a relevant field, with Doctorate preferred, and have at least 8 years of experience in data science.