Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
- 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.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- Stay connected with external sources of ideas through conferences and community engagements
Requirements
- 7 years of experience working as a Data Scientist
- Hands-on experience with enterprise data science solutions in Semi-conducor industry
- Proficiency in Python, SQL, and PySpark.
- Experience with Databricks or similar enterprise cloud environments.
- Experience with production-level coding and deployment practices.
- Familiarity with 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.
Benefits
- 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.
- ***Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.***
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