Data Scientist

Job Description: About the Role

• We are seeking a highly skilled and motivated Data Scientist/Engineer to work on 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.
• Proficient 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 including how RESTful services in data science workflows.