Tiger Analytics is seeking experienced Data Scientists to join their advanced analytics consulting firm.
The firm specializes in Data Science, Machine Learning, and AI, serving multiple Fortune 500 companies.
As a Data Scientist, you will utilize machine learning, data mining, and information retrieval to design and build advanced analytics engines and services.
You will work with cross-functional teams to define technical problem statements and test hypotheses.
Your role will involve developing analytical models that mimic business decisions and integrating them into data products and tools.
You will have the opportunity to influence strategy through your analytical skills and communicate results effectively.
Key responsibilities include collaborating with business partners, developing data science solutions using Python, SQL, and PySpark, and managing code repositories with GitHub Enterprise.
You will also design and optimize machine learning models, ensure code quality, and contribute to sprint planning and documentation.
Requirements:
A minimum of 10 years of experience working as a Data Scientist is required.
Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research.
Proficiency in Python, SQL, and PySpark is essential.
Experience with Databricks or similar enterprise cloud environments is necessary.
Familiarity with production-level coding and deployment practices is required.
Knowledge of basic machine learning techniques and mathematical optimization methods is expected.
Proficiency in data science libraries and ML pipelines such as NumPy, SciPy, scikit-learn, MLlib, PyTorch, and TensorFlow is needed.
A self-starter attitude with an ownership mindset and the ability to work with minimal supervision is crucial.
Benefits:
This position offers significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
Employees will experience a high degree of individual responsibility, allowing for personal and professional growth.