Principal Data Science Manager

3 weeks ago


Irvine, California, United States iHerb Inc. Full time
About iHerb

iHerb Inc. is a leading eCommerce platform dedicated to health and wellness products. We are committed to making health and wellness accessible to all by offering a curated selection of high-quality products at affordable prices. Our mission is to become the #1 destination for health and wellness across the world. We strive to empower our customers by providing them with the knowledge and tools they need to make informed decisions about their health and wellness. As a data science leader, you will play a critical role in helping us achieve this mission by driving business growth through innovative solutions.

We are seeking a highly experienced Principal Data Science Manager to lead our data science team and drive business growth through innovative solutions. As a key member of our leadership team, you will be responsible for shaping the technical roadmap, setting initiatives, and ensuring that data science projects meet business objectives. You will work closely with cross-functional teams to identify opportunities and develop strategic solutions.

The ideal candidate will have at least five years of experience in applied machine learning and data science, with a proven track record of leading machine learning, applied science, or data science teams. They will be responsible for coaching, mentoring, and managing the data science team, setting initiatives for data science projects, and ensuring that they meet business objectives. Strong coding experience, expertise in ETL systems, SQL scripting, descriptive and inferential statistics, and machine learning/data mining techniques are essential. Experience with cloud technologies, big data, and data visualization tools is also desirable.

Key Responsibilities
  • Develops and implements data science strategies to drive business growth.
  • Leverages machine learning and data mining techniques to solve complex problems.
  • Coches and mentors the team on best practices.
  • Collaborates with cross-functional teams to identify opportunities and develop strategic solutions.
  • Ensures that data science projects meet business objectives and deliver measurable results.

Requirements
  • At least five years of experience in applied machine learning and data science.
  • Proven track record of leading machine learning, applied science, or data science teams.
  • Strong coding experience and expertise in ETL systems.
  • Expertise in descriptive and inferential statistics and machine learning/data mining techniques.
  • Excellent communication and interpersonal skills.


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