Data Science Engineer

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Requirements:

• Bachelor’s degree, or equivalent experience/knowledge.
• 2+ years demonstrated experience developing custom data models and pipelines, and distributing them in digestible end products.
• Understanding of data, analytics, and ML. Previous experience working with big, messy data sets, and data processing pipelines.
• Previous experience working with a technical team and contributing to a production development environment.
• Work experience in Python and SQL.
• Expert communication and visualization of data for clients and internal stakeholders.
• Entrepreneurial mindset: prioritize tasks with an eye for evolving business needs and can problem solve independently.
• Ability to work effectively in a remote environment.

Responsibilities:

• Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions.
• Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external clients.
• Apply evolving industry standard data science techniques and toolkits to your analyses and communicate results via reports and visualizations.
• Contribute to building and maintaining data pipelines.
• Draft internal and external technical documentation.
• Seek and prioritize technical and product feedback from internal customers.
• Iterate quickly with an eye towards value.