Senior Data Scientist applying advanced analytics to drive business value for Fortune 500 companies. Leveraging machine learning and data mining in a hybrid workplace with leading data science tools.
Responsibilities
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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