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Company

Original Job Post

San Diego Community Power · 2 days ago

Data Scientist

La Mesa, CA

Part-time

Hybrid

Senior Level

$125K/yr - $136K/yr

5+ years exp

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Responsibilities

Lead efforts in identifying key data sources and developing statistical modeling and machine learning solutions

Deliver predictive and prescriptive algorithms and models using structured and unstructured datasets

Conduct statistical analysis, deep learning modeling, data wrangling, mathematics algorithms, computer vision models, and visualization of data

Collaborate with agency leaders and staff to understand AI, forecasting, and predictive modeling needs

Design and develop innovative statistical and mathematical models for exploratory data analysis

Research new modeling techniques and stay current with industry and academia

Develop energy load forecasting models using time-series data

Create automated ways to detect anomalies and monitor model performance

Collaborate with internal teams, data analysts, and stakeholders to optimize data usage for business needs

Qualification

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SQLMachine learningTrend analysisData transformationData architectureBig data toolsAWSAzureGoogle CloudPythonSagemakerPandasPlotlyPytorchFlaskTensorflowKerasML frameworksComputer VisionCNNsDeep LearningLarge Language ModelsNatural Language ProcessingData ingestionGitHubAnalytic skillsSelf-starterProblem-solvingEnergy Load ForecastingTime-Series Data Analysis

Required

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

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