Data Scientist - Hybrid ML & Analytics

SPECTRAFORCE

San Ramon (CA)

Hybrid

USD 110,000 - 150,000

Full time

14 days+
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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.
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