Data Scientist

Our client, a leading clothing company, is hiring a Data Scientist on a contract basis.
Job ID: 82501

Work Location:
California (Remote Working Model)

Summary:
The client is seeking a highly skilled and motivated Data Scientist/Engineer to work on the ongoing inventory optimization initiative. This role is ideal for someone with a strong foundation in data science/engineering and a passion for building scalable, production-grade solutions that drive business impact. You will work on high-impact projects in domains such as retail, inventory management, and operations research, collaborating with data scientists, engineers, and business stakeholders.

Key Responsibilities:

• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
• Collaborate with data scientists to translate models into production-ready code.
• Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
• Design and optimize mathematical programming and machine learning models for real-world applications.
• Work independently to break down complex problems into actionable development tasks.
• Ensure code quality, scalability, and maintainability in a production environment.
• Contribute to sprint planning, documentation, and cross-functional collaboration.

Required Qualifications:

• Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
• Proficiency in Python, SQL, and PySpark.
• Experience with Databricks or similar enterprise cloud environments.
• Strong understanding of CI/CD principles and version control through GitHub Enterprise.
• Experience defining and validating service contracts using Pydantic for data validation and API schema enforcement.
• Experience with production-level coding and deployment practices.
• Familiarity with basic machine learning techniques and mathematical optimization methods.
• Proficiency in data science libraries and ML pipelines such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
• Self-starter with an ownership mindset and the ability to work with minimal supervision.

Preferred Qualifications:

• Experience in Agile development environments.
• Exposure to cloud platforms (e.g., Azure, AWS, Google Cloud Platform).
• Familiarity with APIs includes RESTful services in data science workflows.

Pay Rate: $55/hour W2

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