Senior Data Scientist

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GoodLeap

πŸ’΅ $137k-$160k
πŸ“Remote - United States

Job highlights

Summary

Join GoodLeap as a Senior Data Scientist and build and deploy lead scoring and recommendation models to boost the efficiency of our Consumer Solutions business unit. You will work with stakeholders to prioritize data modeling projects, establish best practices for measuring model performance, and mentor team members. This role requires a strong technical background, the ability to work independently, and experience collaborating with business stakeholders. You'll have the opportunity to contribute to a company that's making a positive impact on sustainability and the environment. The salary range is $137,000 - $160,000 a year, with potential bonus eligibility.

Requirements

  • MS in DS, Statistics, MIS, or related technical degree or equivalent work experience
  • 5+ years' experience as a Data Scientist or in a similar role
  • 5+ years' hands-on experience using SQL or a similar language for data manipulation
  • 5+ years’ hands-on experience using Python or a similar language for statistical programming
  • Experience developing, deploying, and maintaining ML models in MLFlow and/or AWS Sagemaker, including recommender systems or lead scoring models
  • Experience evaluating ML models and communicating results to non-technical stakeholders
  • Demonstrated ability to work cross-functionally and collaborate with technical and non-technical teams to productionize and drive adoption of ML models
  • Demonstrated ability to work with stakeholders to translate business needs into impactful ML modeling projects

Responsibilities

  • Develop recommendations and lead scoring models that increase conversion rate of sales calls by the Consumer Solutions business unit
  • Work with stakeholders in the Consumer Solutions unit to scope and prioritize data modeling projects that will increase the efficiency and effectiveness of sales teams
  • 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 products
  • Mentor team members on ML projects and take part in tool selection decisions
  • Provide guidance to Analytics Engineers on data modeling needs of ML systems

Benefits

  • $137,000 - $160,000 a year
  • Bonus

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