Tiger Analytics is looking for experienced Data Scientists to join their fast-growing advanced analytics consulting firm to enable Fortune 500 companies to generate business value from data.
Requirements
- 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.
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.
Other
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements
- Self-starter with an ownership mindset and the ability to work with minimal supervision.
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
