Data Scientist - Hybrid ML & Analytics

SPECTRAFORCE; San Ramon (CA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Client Laptop and docking station provided

Opportunity for remote work

Collaborative work environment

Job summary

A leading data science firm is seeking a Data Scientist to execute and deliver data insights. This role involves building and deploying advanced analytics and machine learning models as part of the Electric Operations Excellence Team. The successful candidate will need strong skills in machine learning, statistical analysis, and programming in Python, R, and SQL. The position offers a hybrid work model, requiring some in-office collaboration, with a focus on high-value analytics. Candidates with experience in the energy industry are preferred.

Qualifications

• 8+ years relevant experience with a Bachelor's Degree.
• 6+ years experience with a Master's Degree.
• 3+ years experience with a Doctorate Degree.
• Strong command of programming languages for data manipulation.

Responsibilities

• Develop high complexity models and training sets.
• Translate business needs into well-defined data science problems.
• Mentor junior data scientists.
• Collaborate with stakeholders for data science solutions.
• Provide insights through clear communication of results.

Skills

Machine Learning & Algorithms

Mathematics & Statistics

Presentation Skills

Domain Knowledge

Education

Bachelor's Degree in relevant field

Master's Degree

Doctorate Degree

Tools

Python

R

SQL

Pandas

Scikit-learn

AWS

Azure

Job description

A leading data science firm is seeking a Data Scientist to execute and deliver data insights. This role involves building and deploying advanced analytics and machine learning models as part of the Electric Operations Excellence Team. The successful candidate will need strong skills in machine learning, statistical analysis, and programming in Python, R, and SQL. The position offers a hybrid work model, requiring some in-office collaboration, with a focus on high-value analytics. Candidates with experience in the energy industry are preferred.