[Remote] Principal Data Scientist - R01566418

Note: The job is a remote job and is open to candidates in USA. Brillio is one of the fastest growing digital technology service providers, partnering with Fortune 1000 companies to leverage innovative digital adoption. They are seeking a Principal Data Scientist to design and implement statistical models and machine learning algorithms, lead data science projects, and collaborate with cross-functional teams to drive impactful analytical solutions.ResponsibilitiesDesign 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 teamSkills15 - 18 years of experience in advanced data science roles, with extensive leadership in designing and deploying statistical and machine learning solutionsExpertise 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 orchestrationExperience 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 practicesCompany OverviewBrillio is a technology consulting and technology services company focused on the implementation of digital technologies. It was founded in 2014, and is headquartered in Santa Clara, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.brillio.com.Company H1B SponsorshipBrillio has a track record of offering H1B sponsorships, with 53 in 2026, 258 in 2025, 240 in 2024, 281 in 2023, 314 in 2022, 196 in 2021, 406 in 2020. Please note that this does not guarantee sponsorship for this specific role.