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Data Scientist - Email and Chat


 

Full job description &  Role Responsibilities.

 

Here's What You'll Do

  • Research and Develop subject matter expertise in product innovation areas including unstructured data management, AI governance and protected cross-entity data sharing.

  • Conduct technical feasibility assessments to determine the strengths and limitations of emerging technologies.

  • Recommend product enhancements to support the integration of new technology and to enhance our offering for new customer use cases including generative AI.

  • Interact with product, services and sales teams to identify potential new customer trends and future product gaps over a 1-3 year horizon.


Minimum qualifications:

  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

  • 5-10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL)


Preferred qualifications:

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

  • 12 years of experience solving product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).

  • Experience in extracting large sets of data with SQL and in designing ETL flows.

  • Experience working with Developers and Product Managers, especially around providing product-centric insights.

  • Track record of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.

 

Expected hours: 40 per week

Work Location: Remote


 
 
 

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