Data Scientist

Must Have requirements

• Master degree in computer science or data science
• 2 years professional experience as software development engineer, data scientist, or machine learning engineer
• Proficient in Python, with solid background in data structures and algorithms
• Experience with computer vision

Responsibilities

• Applies machine learning and other analytical modeling methods to develop robust and reliable analytical models, including visualizations, within PG&E's software development environment.
• Gathers, cleans, transforms, and/or reduces data from dissimilar sources from across PG&E.
• Collaborates with team members and stakeholders to effectively manage the lifecycle of a model, retraining, replacing or sunsetting models when appropriate.
• Shares and collaborates with other PG&E data scientists. * Delivers best-in-class software as part of a software delivery team.

Duration: 8 months

Minimum Education/Skills

• Bachelor's Degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics or job-related discipline or equivalent experience
• Job-related experience, 5 years, OR Master's Degree and job-related experience, 3 years, OR Doctorate

Desired Education / Skills

• Experience with the data science lifecycle, including data engineering, feature engineering, model building and evaluation, model deployment.
• Knowledge of commonly used data science programming languages, packages, and tools, especially Python.
• Understanding of data science/machine learning models and algorithms, not limited to: deep learning (CNN, RNN etc), decision trees (e.g. xgboost, random forest), unsupervised techniques (e.g. clustering, anomaly detection), natural language processing and statistical methods.
• Experience training models in a public cloud environment, using tools such as Jupyter, AWS Sagemaker.
• Ability to synthesize complex information into clear insights and translate those insights into decisions and actions.
• Ability to clearly communicate complex technical details and insights to colleagues and stakeholders.
• Knowledge of the mathematical and statistical fields that underpin data science * Knowledge of systems thinking and decomposition of complex problems.
• Humble - is open to being coached, has high EQ and is self-aware * Hungry - desires to get things done while honoring people, and seeks better ways to do the job
• Collaborative - has strong interpersonal skills; cares about and works well with teammates
• Experience working on an agile delivery team, using methods such as Scrum, Kanban.

Additional Information

All your information will be kept confidential according to EEO guidelines.