Data Scientist

Company: San Diego Community Power

Location: San Diego

Closing Date: 09/11/2024

Salary: £125 - £150 Per Annum

Hours: Full Time

Type: Permanent

Apply Now

Job Requirements / Description

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience developing new machine learning models, model optimization and deployment of modeling solutions
Experience performing trend analysis on internal and external data to develop business solutions
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A self-starter with high bias for action
Experience in data gathering and model classification techniques
Experience with processing, cleansing and verifying the integrity of data for exploratory analysis
Minimum of five (5) years of professional experience in a Data Scientist role, preferably in the energy industry with a graduate degree or PhD in Engineering, Data Science, Statistics, or another quantitative field
The candidate should also have experience using the following software/tools:
Experience with developing data architecture and solution architecture
Experience with big data tools and technical architecture
Experience with AWS, Azure or Google Cloud services
Experience with Python, Sagemaker, Panda, Plotly, Pytorch, Flask, Tensorflow or Keras and similar ML frameworks
Knowledge of Computer Vision, Convolutional Neural Networks (CNNs), Deep Learning, Large Language Models, and Natural Language Processing
Knowledge of data ingestion and data transformation methodologies including batch, micro-batching and real-time data ingestion
Experience with GitHub or similar code repositories
Prolonged periods sitting at a desk and working on a computer
The position requires occasional carrying, lifting and/or moving objects up to 25 pounds
Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected

Responsibilities

A key priority of this role will be to lead efforts in identifying key data sources and development of statistical modeling and machine learning solutions that deliver impactful results for SDCP
The focus of this role is to deliver predictive and prescriptive algorithms and models using structured and unstructured datasets
The Data Scientist in this role is responsible for statistical analysis, deep learning modeling, data wrangling, mathematics algorithms, computer vision models, visualization of data and outcome, and validations of model performance
This role will collaborate with agency leaders and staff to understand AI, forecasting and predictive modeling needs
This role will report to the Director of Data Analytics and IT Services
Serve as lead data scientist and assist in driving data science and AI initiatives for the enterprise
Collaborate with data analytics, IT and product teams to understand and document needs for predictive and prescriptive models
Design and develop innovative statistical and mathematical models to conduct exploratory data analysis
Research new modeling techniques and stay current with industry, open-source and academia
Develop feature selection, building and optimize classifier using machine learning methods
Develop energy load forecasting models using time-series data
Extending company’s data sources with third party sources for comprehensive and holistic information building
Conduct ad-hoc data analysis and presentations / telling the data story as needed
Create automated way to detect anomalies and monitor model performance
Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs
Performs other related duties and responsibilities as required
Salary Range: The position salary range is: $124,984 to $136,197; with exact compensation to be determined by SDCP, depending upon experience
Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees
Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP
Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan
Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave

Qualifications

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience developing new machine learning models, model optimization and deployment of modeling solutions
Experience performing trend analysis on internal and external data to develop business solutions
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A self-starter with high bias for action
Experience in data gathering and model classification techniques
Experience with processing, cleansing and verifying the integrity of data for exploratory analysis
Minimum of five (5) years of professional experience in a Data Scientist role, preferably in the energy industry with a graduate degree or PhD in Engineering, Data Science, Statistics, or another quantitative field
The candidate should also have experience using the following software/tools:
Experience with developing data architecture and solution architecture
Experience with big data tools and technical architecture
Experience with AWS, Azure or Google Cloud services
Experience with Python, Sagemaker, Panda, Plotly, Pytorch, Flask, Tensorflow or Keras and similar ML frameworks
Knowledge of Computer Vision, Convolutional Neural Networks (CNNs), Deep Learning, Large Language Models, and Natural Language Processing
Knowledge of data ingestion and data transformation methodologies including batch, micro-batching and real-time data ingestion
Experience with GitHub or similar code repositories
Prolonged periods sitting at a desk and working on a computer
The position requires occasional carrying, lifting and/or moving objects up to 25 pounds
Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected

Responsibilities

A key priority of this role will be to lead efforts in identifying key data sources and development of statistical modeling and machine learning solutions that deliver impactful results for SDCP
The focus of this role is to deliver predictive and prescriptive algorithms and models using structured and unstructured datasets
The Data Scientist in this role is responsible for statistical analysis, deep learning modeling, data wrangling, mathematics algorithms, computer vision models, visualization of data and outcome, and validations of model performance
This role will collaborate with agency leaders and staff to understand AI, forecasting and predictive modeling needs
This role will report to the Director of Data Analytics and IT Services
Serve as lead data scientist and assist in driving data science and AI initiatives for the enterprise
Collaborate with data analytics, IT and product teams to understand and document needs for predictive and prescriptive models
Design and develop innovative statistical and mathematical models to conduct exploratory data analysis
Research new modeling techniques and stay current with industry, open-source and academia
Develop feature selection, building and optimize classifier using machine learning methods
Develop energy load forecasting models using time-series data
Extending company’s data sources with third party sources for comprehensive and holistic information building
Conduct ad-hoc data analysis and presentations / telling the data story as needed
Create automated way to detect anomalies and monitor model performance
Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs
Performs other related duties and responsibilities as required

Benefits

Salary Range: The position salary range is: $124,984 to $136,197; with exact compensation to be determined by SDCP, depending upon experience
Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees
Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP
Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan
Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave

OPEN POSITION ANNOUNCEMENT!
Data Scientist...
Open until filled.
Posted 1/9/2024 San Diego County – hybrid work schedule set by SDCP
About the role:
San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities. A key priority of this role will be to lead efforts in identifying key data sources and development of statistical modeling and machine learning solutions that deliver impactful results for SDCP. The focus of this role is to deliver predictive and prescriptive algorithms and models using structured and unstructured datasets. The Data Scientist in this role is responsible for statistical analysis, deep learning modeling, data wrangling, mathematics algorithms, computer vision models, visualization of data and outcome, and validations of model performance. This role will collaborate with agency leaders and staff to understand AI, forecasting and predictive modeling needs.
This role will report to the Director of Data Analytics and IT Services.
WHO IS SAN DIEGO COMMUNITY POWER?
San Diego Community Power is a community-owned organization that provides affordable clean energy and invests in the community to create an equitable and sustainable future for the San Diego region. We aim to be a global leader, inspiring innovative solutions to climate change by powering our communities with 100% clean affordable energy while prioritizing equity, sustainability, and high-quality jobs. We are a values-led, mission driven organization grounded in Justice/Equity/Diversity/Inclusion (JEDI), Impact, Integrity, Innovation, Servant Leadership, and Togetherness. Our culture is built on open communication, accountability, and curiosity. We are a growing team whose key premise is trust, collaboration, and connection with each other and the communities we serve. We are responsive and work smart to achieve high goals.
OUR HISTORY
San Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and serve five member agencies: San Diego, Chula Vista, Encinitas, La Mesa and Imperial Beach, County of San Diego, and National City. SDCP was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. By the end of 2023, SDCP will provide electricity for nearly half the electric load in San Diego Gas and Electric’s service territory and will be the second largest CCA in California. For more information, please visit SDCommunityPower.org.
COMMITMENT TO DIVERSITY
At SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITES
• Serve as lead data scientist and assist in driving data science and AI initiatives for the enterprise.
• Collaborate with data analytics, IT and product teams to understand and document needs for predictive and prescriptive models.
• Design and develop innovative statistical and mathematical models to conduct exploratory data analysis.
• Research new modeling techniques and stay current with industry, open-source and academia.
• Develop feature selection, building and optimize classifier using machine learning methods
• Develop energy load forecasting models using time-series data
• Extending company’s data sources with third party sources for comprehensive and holistic information building
• Conduct ad-hoc data analysis and presentations / telling the data story as needed
• Create automated way to detect anomalies and monitor model performance.
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs.
• Performs other related duties and responsibilities as required.
MINIMUM KNOWLEDGE, SKILLS, AND ABILITES
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience developing new machine learning models, model optimization and deployment of modeling solutions.
• Experience performing trend analysis on internal and external data to develop business solutions.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A self-starter with high bias for action
• Experience in data gathering and model classification techniques
• Experience with processing, cleansing and verifying the integrity of data for exploratory analysis.
PREFERRED KNOWLEDGE, SKILLS, AND ABILITES
• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).
PREFERRED QUALIFICATIONS, EDUCATION AND EXPERIENCE
Minimum of five (5) years of professional experience in a Data Scientist role, preferably in the energy industry with a graduate degree or PhD in Engineering, Data Science, Statistics, or another quantitative field. The candidate should also have experience using the following software/tools:
• Experience with developing data architecture and solution architecture
• Experience with big data tools and technical architecture
• Experience with AWS, Azure or Google Cloud services.
• Experience with relational SQL and NoSQL databases.
• Experience with Python, Sagemaker, Panda, Plotly, Pytorch, Flask, Tensorflow or Keras and similar ML frameworks
• Knowledge of Computer Vision, Convolutional Neural Networks (CNNs), Deep Learning, Large Language Models, and Natural Language Processing
• Knowledge of data ingestion and data transformation methodologies including batch, micro-batching and real-time data ingestion.
• Experience with GitHub or similar code repositories
WORK ENVIROMENT & CONDITIONS
Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. At SDCP we work in the communities we serve and in the office. SDCP works to ensure a safe and healthy workplace for employees and in our communities. SDCP requires employees to be fully vaccinated for COVID-19. SDCP is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission.
COMPENSATION:
Salary Range: The position salary range is: $124,984 to $136,197; with exact compensation to be determined by SDCP, depending upon experience.
Benefits: Standard benefits package including but not limited to:
Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP.
Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.
Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.
This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of SDCP as needed