[Remote] Senior Data Science Lead - R01566414

Note: The job is a remote job and is open to candidates in USA. Brillio is a fast-growing digital technology service provider that partners with Fortune 1000 companies to leverage digital adoption for competitive advantage. They are seeking a Senior Data Science Lead to design and implement complex data science solutions, mentor junior data scientists, and drive innovation through advanced statistical modeling and machine learning.ResponsibilitiesLead the design and implementation of complex data science solutions to drive business impact and inform strategic decision-makingDevelop, validate, and optimize advanced statistical and machine learning models, including regression, classification, and forecasting algorithmsCollaborate with cross-functional teams to translate business objectives into actionable analytics projects and deliver measurable outcomesMentor and guide junior data scientists, fostering a culture of technical excellence and continuous learningLeverage Python, R, and relevant frameworks to build scalable data pipelines and automate model deployment using tools such as KubeFlow and BentoMLConduct rigorous statistical analysis, including hypothesis testing, T-Test, Z-Test, and probabilistic graph modeling to uncover actionable insightsImplement and monitor model validation, explainability, and performance tracking using tools like Great Expectation and Evidently AIStay current with emerging trends in machine learning, artificial intelligence, and big data technologies to drive innovation within the teamSkillsExperience Range: 12+ years of experience in data science, including hands-on expertise in advanced statistical modeling and machine learningExpertise in hypothesis testing, T-Test, and Z-TestAdvanced proficiency in regression techniques (linear and logistic)Strong programming skills in Python and PySparkExperience with SAS or SPSS for statistical analysis and computingHands-on knowledge of probabilistic graph modelsProficiency with machine learning frameworks such as TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, or MXNetForecasting techniques, including exponential smoothing, ARIMA, and ARIMAXExperience with model deployment tools such as KubeFlow and BentoMLStrong understanding of classification algorithms (decision trees, SVM)Proficiency in R and R StudioMaster's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative fieldRelevant certifications in machine learning, data science, or analytics (e.g., TensorFlow, SAS, or equivalent)Experience with Great Expectation and Evidently AI for model validation and monitoringKnowledge of advanced distance metrics (Hamming, Euclidean, Manhattan)Expertise in scalable data engineering for machine learning pipelinesHands-on experience with cloud-based machine learning platformsFamiliarity with MLOps best practices and CI/CD for data scienceCompany 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.