Job Description
- Develop recommendations and lead scoring models that increase conversion rate of sales calls by the Consumer Solutions business unitÂ
- Work with stakeholders in the Consumer Solutions unit to scope and prioritize data modeling projects that will increase the efficiency and effectiveness of sales teamsÂ
- Establish best practices for measuring the performance of data models both offline and online and use results educate non-technical stakeholders on value and lifecycle of data productsÂ
- Mentor team members on ML projects and take part in tool selection decisionsÂ
- Provide guidance to Analytics Engineers on data modeling needs of ML systemsÂ
- MS in DS, Statistics, MIS, or related technical degree or equivalent work experienceÂ
- 5+ years' experience as a Data Scientist or in a similar roleÂ
- 5+ years' hands-on experience using SQL or a similar language for data manipulationÂ
- 5+ years’ hands-on experience using Python or a similar language for statistical programmingÂ
- Experience developing, deploying, and maintaining ML models in MLFlow and/or AWS Sagemaker, including recommender systems or lead scoring modelsÂ
- Experience evaluating ML models and communicating results to non-technical stakeholdersÂ
- Demonstrated ability to work cross-functionally and collaborate with technical and non-technical teams to productionize and drive adoption of ML modelsÂ
- Demonstrated ability to work with stakeholders to translate business needs into impactful ML modeling projectsÂ
Date Posted
12/18/2024
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