Hybrid Data Scientist: ML & AI for Retail Analytics

Skechers USA Ltd.; Manhattan Beach, Northern (CA, KY); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Skechers USA Ltd. in Manhattan Beach is seeking a Data Scientist to join our Data and Analytics team. You will build end-to-end ML solutions that power our core data products and drive business decisions.

This hybrid role emphasizes production-grade model development, LLM/RAG frameworks, and collaboration with data engineers to deploy scalable data pipelines. Strong coding, statistics, and communication skills are essential in a fast-paced environment.

Qualifications

• Proficiency with Python, Spark, and ML frameworks (NumPy, Pandas, Scikit-Learn, XGBoost, TensorFlow, PyTorch).
• Strong foundation in statistics, probability, optimization, linear algebra, and AI tech.
• Experience with SQL and data modeling; Agile/SCRUM environment familiarity.

Responsibilities

• Develop end-to-end ML solutions to solve business problems.
• Lead model development lifecycle from ideation to deployment.
• Experiment design, A/B testing, and causal inference to measure impact.

Skills

Python

Spark

ML frameworks

SQL

Statistics

Agile/SCRUM

Communication

Education

Bachelor's/Master's/Ph.D. in quantitative field

Tools

Snowflake

BigQuery

AWS SageMaker

LangChain

LlamaIndex

OpenAI APIs

Job description

Skechers USA Ltd. in Manhattan Beach is seeking a Data Scientist to join our Data and Analytics team. You will build end-to-end ML solutions that power our core data products and drive business decisions.

This hybrid role emphasizes production-grade model development, LLM/RAG frameworks, and collaboration with data engineers to deploy scalable data pipelines. Strong coding, statistics, and communication skills are essential in a fast-paced environment.