Lead Data Scientist

@ Tiger Analytics

About Tiger Analytics

Tiger Analytics is a fast-growing advanced analytics consulting firm trusted by multiple Fortune 500 companies. The firm is recognized by Forrester and Gartner for its leadership in business value and analytics.

Role Overview: Lead Data Scientist

As a Lead Data Scientist at Tiger Analytics, you will apply machine learning, data mining, and information retrieval to design, prototype, and build next-generation analytics engines and services. Collaborate closely with cross-functional teams to define technical problems and develop analytical models that support business decisions.

Key Responsibilities

• Collaborate with business partners to develop innovative solutions.
• Develop, test, and deploy data science solutions using Python, SQL, and PySpark on platforms such as Databricks.
• Translate models into production-ready code and implement CI/CD pipelines with GitHub Enterprise.
• Design and optimize machine learning and mathematical models for real-world applications.
• Work independently to solve complex problems and contribute to sprint planning and documentation.
• Coach peers and engage in continuous learning through conferences and community events.

Qualifications

Minimum 8 years of experience as a Data Scientist with hands-on experience in enterprise data science solutions. Must be proficient in Python, SQL, and PySpark; familiar with Databricks, NumPy, SciPy, scikit-learn, MLlib, PyTorch, and TensorFlow. Candidates should demonstrate production-level coding, deployment practices, and a self-starter attitude.

Key Skills/Competency

• Data Science
• Machine Learning
• Python
• SQL
• PySpark
• Databricks
• CI/CD
• Mathematical Modeling
• Data Mining
• Analytics