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Full-Time

Data Scientist

Posted on 11/30/2023

goop

goop

501-1,000 employees

Curated clean beauty, wellness, and fashion products

Consulting
Enterprise Software
Biotechnology
Consumer Goods

Junior, Mid

Santa Monica, CA, USA

Category
Data Science
Data & Analytics
Required Skills
Python
Airflow
Data Science
Data Structures & Algorithms
SQL
AWS
Pandas
NumPy
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.

goop is a lifestyle brand offering a curated selection of clean beauty, wellness, and fashion products, utilizing high-quality and clean technologies and methods. The company's products encompass a range of clean beauty, wellness, and fashion items, with a focus on developing high-quality goods.

Company Stage

Series D

Total Funding

$128M

Headquarters

Santa Monica, California

Founded

2008

Growth & Insights
Headcount

6 month growth

40%

1 year growth

59%

2 year growth

62%
INACTIVE