Company:
Sunrise Systems Inc
Location: Oakland
Closing Date: 06/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Job Title: Data Scientist
Job ID: (phone number removed)
Location: Oakland, CA (OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES 100% Remote or they can be hybrid as well)
Duration: 12 months on W2 Contract.
Position Summary
CLIENT is looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance CLIENT's triple bottom line of People, Planet, and Prosperity. Working as part of cross functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.
The responsibilities of these positions include:
Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context
Scopes and prioritizes modeling work to deliver business value
Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models
Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation
Extracts, transforms, and loads data from dissimilar sources from across CLIENT for model-building and analysis
Writes and documents python code for data science (feature engineering and machine learning modeling) independently
Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.
Act as peer reviewer of models and analyses built by other data scientists
Develops and presents summary presentations to business.
Present findings and makes recommendations to officers and cross-functional management.
Build and maintain strong relationships with business units and external agencies.
Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts
Education Minimum:
Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
The hourly rate for this position is between $87.00 - $96.00 per hour.
Compensation:
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
Contact:
Raghu: (phone number removed) | (url removed) | URL: (url removed)
Job ID: (phone number removed)
Location: Oakland, CA (OPEN TO BOTH LOCAL AND NON-LOCAL CANDIDATES 100% Remote or they can be hybrid as well)
Duration: 12 months on W2 Contract.
Position Summary
CLIENT is looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance CLIENT's triple bottom line of People, Planet, and Prosperity. Working as part of cross functional teams, including data engineers, data scientists, technologists, subject matter experts, and change management professionals – this individual will lead the development of computer vision models to improve, accelerate, and automate asset inspections processes. The individual will participate in the full lifecycle of the delivery process from initial value discovery to model-building to building data products to deliver value to end users.
The responsibilities of these positions include:
Leads conversations with business stakeholders and subject matter experts to understand business and subject matter context
Scopes and prioritizes modeling work to deliver business value
Applies data science, machine learning and other analytical modeling methods to develop defensible and reproducible predictive models
Serves as the technical lead for the development of computer vision models, leading data labeling, model training and model evaluation
Extracts, transforms, and loads data from dissimilar sources from across CLIENT for model-building and analysis
Writes and documents python code for data science (feature engineering and machine learning modeling) independently
Documents and presents data science experiments and findings clearly to other data scientists and business stakeholders.
Act as peer reviewer of models and analyses built by other data scientists
Develops and presents summary presentations to business.
Present findings and makes recommendations to officers and cross-functional management.
Build and maintain strong relationships with business units and external agencies.
Works with cross functional teams, including data engineers, machine learning engineers, data scientists, and subject matter experts
Education Minimum:
Bachelor's degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
The hourly rate for this position is between $87.00 - $96.00 per hour.
Compensation:
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
Contact:
Raghu: (phone number removed) | (url removed) | URL: (url removed)
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