Principal Data Scientist

Responsibilities

• Design and implement robust statistical models and machine learning algorithms for large-scale predictive analytics
• Lead end-to-end development of data science projects, including hypothesis testing, regression, and forecasting
• Collaborate with cross-functional teams to translate business requirements into analytical solutions
• Optimize and automate data pipelines using Python, PySpark, and R
• Develop, validate, and maintain probabilistic graph models and advanced statistical computing frameworks
• Utilize ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build and deploy models
• Establish rigorous model evaluation and monitoring processes
• Mentor and guide junior data scientists to foster technical excellence

Requirements

• 15-18 years of experience in advanced data science roles with leadership experience
• Expertise in hypothesis testing (T-Test, Z-Test) and advanced regression techniques
• Strong programming proficiency in Python, PySpark, and R/R Studio
• Hands-on experience with TensorFlow, PyTorch, and Sci-Kit Learn
• In-depth knowledge of probabilistic graph models and forecasting methods (ARIMA, Exponential Smoothing)
• Experience with model deployment and orchestration tools like Kubeflow and BentoML
• Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related field

Preferred Qualifications

• Experience implementing advanced model monitoring with Evidently AI
• Expertise in data pipeline automation and orchestration using Kubeflow
• Experience with large-scale distributed computing environments
• Strong background in statistical validation and reproducibility best practices

About the Company

Brillio is a fast-growing digital technology service provider and a partner of choice for Fortune 1000 companies. We help organizations turn disruption into competitive advantage through innovative digital adoption, combining cutting-edge technology with design thinking to drive client success.