Data Scientist
Posted on 11/30/2023
INACTIVE
goop

501-1,000 employees

Lifestyle brand curating wellness, beauty, and travel products.
Company Overview
Goop, a lifestyle brand founded by Gwyneth Paltrow, offers a unique blend of curated and self-produced products across wellness, beauty, food, style, and travel, setting it apart from competitors. The company's culture is rooted in continuous learning and sharing, with Paltrow herself introducing readers to her mentors and new ideas, fostering an environment of growth and discovery. As an industry leader, Goop has successfully transitioned from a simple newsletter to a comprehensive lifestyle platform, demonstrating its adaptability and commitment to meeting the evolving needs of its audience.
Consumer Goods

Company Stage

Series D

Total Funding

$128M

Founded

2008

Headquarters

Santa Monica, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

39%

2 year growth

96%
Locations
Santa Monica, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Airflow
Data Science
Data Structures & Algorithms
SQL
AWS
Pandas
NumPy
CategoriesNew
Data Science
Data & Analytics
Requirements
  • Bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, or other highly quantitative field, or equivalent practical experience.
  • 3+ years of hands-on experience in data science, ideally with a focus in building production level machine learning solutions
  • Advanced level in Python programming with extensive experience with the ML ecosystem - pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc.
  • Experience developing and deploying inference endpoints
  • Advanced level experience with relational databases (SQL) and unstructured & semi-structured data
  • Understanding of A/B testing and practical application of inferential statistics
  • Working knowledge of AWS infrastructure and data tools (S3, SageMaker, Airflow, etc.)
Responsibilities
  • Enhance, develop, deploy production level machine learning models and algorithms that will improve goop's customer experience.
  • Participate in the full development cycle: design, develop, QA, deploy, experiment, analyze, and iterate.
  • Collaborate and partner with key stakeholders throughout the organization. Identify opportunities to utilize Data Science to enhance business outcomes/customer experience.