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.
The role involves applying expertise in machine learning, data mining, and information retrieval to design and build advanced analytics engines and services.
Responsibilities include collaborating with cross-functional teams to define technical problem statements and hypotheses, developing analytical models, and ensuring business value through effective communication of results.
Key responsibilities include collaborating with business partners, developing and deploying data science solutions using Python, SQL, and PySpark, translating models into production-ready code, implementing CI/CD pipelines, designing and optimizing machine learning models, and contributing to sprint planning and documentation.
The position requires working independently to tackle complex problems and mentoring a growing team of Data Scientists.
Requirements:
A minimum of 5 years of experience working as a Data Scientist is required.
Hands-on experience in data science, particularly in unsupervised learning and customer analytics, is essential.
Strong experience with clustering algorithms and dimensionality reduction techniques such as PCA, t-SNE, and UMAP is necessary.
Proficiency in Python and SQL is required for this position.
Proven ability to build and deploy Streamlit dashboards for model explainability and business consumption is a must.
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.