Principal Data Scientist

Principal Data ScientistBrillio 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. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.Job RequirementsExperience Range: 15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutionsKey Responsibilities:Design and implement robust statistical models and machine learning algorithms for large-scale data analysis and predictive analyticsLead end-to-end development of data science projects, including hypothesis testing, regression analysis, classification, and forecastingCollaborate with cross-functional teams to define business requirements, translate them into analytical solutions, and drive measurable impactOptimize and automate data pipelines using Python, PySpark, and R, ensuring efficient data processing and feature engineeringDevelop, validate, and maintain probabilistic graph models and advanced statistical computing frameworksUtilize industry-leading ML frameworks such as TensorFlow, PyTorch, and Sci-Kit Learn to build, train, and deploy modelsEstablish rigorous model evaluation and monitoring processes using tools like Great Expectations and Evidently AIMentor and guide junior data scientists, fostering technical excellence and continuous learning within the teamRequired Skills:Expertise in hypothesis testing, including T-Test and Z-Test methodologiesAdvanced proficiency in regression techniques (linear and logistic)Strong programming skills in Python, PySpark, and R/R StudioHands-on experience with SAS and SPSS for statistical analysis and computingIn-depth knowledge of probabilistic graph modelsExperience with forecasting methods such as Exponential Smoothing, ARIMA, and ARIMAXPractical use of classification algorithms including Decision Trees and Support Vector Machines (SVM)Proficiency with ML frameworks: TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNetFamiliarity with distance metrics (Hamming, Euclidean, Manhattan)Working knowledge of Kubeflow and BentoML for model deployment and orchestrationPreferred Skills:Experience implementing advanced model monitoring with Evidently AIExpertise in data pipeline automation and orchestration using KubeflowKnowledge of emerging ML frameworks and architecturesExperience with large-scale distributed computing environmentsStrong background in statistical validation and reproducibility best practicesDesired Qualifications:Master's or PhD degree in Data Science, Statistics, Computer Science, Mathematics, or a related fieldRelevant certifications in machine learning, statistical analysis, or advanced data scienceEqual Employment Opportunity DeclarationBrillio is an equal opportunity employer to all, regardless of age, ancestry, color, 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.