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Senior Data Science Engineer

2 months ago


San Francisco, California, United States A Giants Early Learning Center Full time
About the Role

We are seeking a highly skilled Senior Data Science Engineer to join our team at A Giants Early Learning Center. As a key member of our data science team, you will be responsible for driving the development and implementation of cutting-edge machine learning algorithms and models.

Key Responsibilities
  • Design and Develop Machine Learning Models: Design and develop sophisticated machine learning models to drive business outcomes and improve customer experiences.
  • Collaborate with Cross-Functional Teams: Collaborate with product, engineering, and analytics teams to build AI functionalities into our products and services.
  • Conduct Rigorous Experimentation and Model Evaluations: Conduct rigorous experimentation and model evaluations to ensure the accuracy and effectiveness of our machine learning models.
  • Provide Guidance and Mentorship: Provide guidance and mentorship to emerging data science engineers to help them grow and develop their skills.
  • Stay Up-to-Date with Industry Trends: Stay up-to-date with the latest industry trends and advancements in machine learning and AI.
Requirements
  • Bachelor's or Master's Degree: Bachelor's or Master's degree in Computer Science or a related field.
  • 5+ Years of Industry Experience: 5+ years of industry experience in data science or a related field.
  • Expertise in Python or Java: Expertise in Python or Java with the ability to write performant production-quality code.
  • Experience with SQL and Spark: Experience with SQL and Spark, as well as knowledge of cloud data environments (e.g. AWS, Databricks).
  • Ability to Communicate Complex Concepts: Ability to communicate complex data science concepts to diverse audiences and craft a compelling story.
  • Agile Development Mindset: Agile development mindset with a focus on business practicality and the 80/20 rule.
Preferred Qualifications
  • Experience in Consumer or B2C Space: Experience working in a consumer or B2C space for a SaaS product provider or the enterprise/B2B space.
  • Experience with Deep Learning: Experience in developing deep learning-based models and working on LLM-related applications.
  • Ability to Solve Ambiguous Problems: Ability to solve ambiguous and complex problems, navigate through uncertain situations, and develop innovative solutions.
What We Offer

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented data science engineer looking for a new challenge, please submit your application.