Resume Pool: Product and Engineering

Teams available for this resume pool

• Engineering (Data, Software, ML)
• Data Science
• Data Analysis
• Product Management
• Project Management
• Full-Stack Web Development

This may not be a holistic list and is subject to change as new positions are added to the data and product teams.

Successful candidates will be responsible for

• Joining each and every one of your colleagues in creating an inclusive workspace
• Using an array of technological languages, models, and tools
• Working toward constantly improving data reliability and quality
• Collaborating with cross-functional teams to support their data related needs

Must-have qualifications

• Attention to detail
• Intellectual curiosity to innovate on ways to solve data management issues
• Passion, energy, and excitement for progressive and philanthropic causes and all things digital

Nice-to-have qualifications (depending on the role)

• Python, Pandas, PySpark, SQL, R
• Familiarity with big data tools using AWS or other cloud services
• A passion for statistical methodology
• Experience with MLOps platforms like MLFlow, Sagemaker, and/or Google Cloud AI
• Experience in coding and/or analytics
• Experience in building data- and/or machine learning-based products
• A background in related industry sectors

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