Data Scientist – Fulltime

Job Description

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as “Brillians”, distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.
Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Principal Data Scientist
Experience Range: 15 – 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutions

Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analytics
Lead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecasting
Optimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineering
Utilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy models
Establish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AI
Mentor and guide junior data scientists, fostering technical excellence and continuous learning within the team
Expertise in hypothesis testing, including T-Test and Z-Test methodologies
Strong programming skills in Python, PySpark, and R/R Studio
Hands-on experience with SAS and SPSS for statistical analysis and computing
Practical use of classification algorithms including Decision Trees and Support Vector Machines (SVM)
Proficiency with ML frameworks: Working knowledge of Kubeflow and BentoML for model deployment and orchestration
Experience implementing advanced model monitoring with Evidently AI
Expertise in data pipeline automation and orchestration using Kubeflow
Knowledge of emerging ML frameworks and architectures
Master’s or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
Relevant certifications in machine learning, statistical analysis, or advanced data science
Know more about Data and AI:
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.