Electrify and decarbonize for a zero-carbon future by designing, building, and maintaining data infrastructure to support product initiatives and investments, and implementing new AI-driven solutions to drive productivity and improve quality within the Product Management organization.
Requirements
- Familiarity with SQL and database management systems.
- Experience with programming languages such as Python or R.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Smartsheet).
- Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Knowledge of deep learning techniques and neural networks is a plus.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is desirable.
- Understanding of natural language processing (NLP) and computer vision applications is beneficial.
Responsibilities
- Gather, clean, and organize large datasets from various sources.
- Ensure data integrity and accuracy through regular audits and validation processes.
- Maintain data repositories and databases, ensuring they are up-to-date and accessible.
- Perform statistical analysis and data modeling to identify trends, patterns, and insights.
- Train and deploy machine learning models to enhance data-driven decision-making.
- Implement AI algorithms for predictive analytics, classification, clustering, and other applications.
- Manage and optimize data pipelines and ETL (Extract, Transform, Load) processes.
Other
- Bachelor’s degree in Data Science, Statistics, Computer Science, Artificial Intelligence, or a related field. Master’s degree preferred.
- Experience as a Data Analyst, Data Scientist, or similar role with a focus on AI and machine learning.
- Strong portfolio of projects demonstrating data analysis, visualization, and/or AI model development.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills.
