Staff Data Scientist

Staff Data ScientistPlano, TX, USThis project involves a complex, production-grade machine learning solution with ongoing opportunities for enhancement across both traditional data science and emerging foundation model approaches. It requires strong collaboration with technical and business stakeholders, proactive decision-making, and continuous knowledge sharing to drive innovation, scalability, and business impact.Essential FunctionsCollaborate cross-functionally with engineering and business teams to ensure alignment, clarity of requirements, and effective delivery of solutionsDrive MLOps excellence by proposing, designing, and optimizing system architecture, including refactoring Azure DevOps (ADO) and Azure Data Factory (ADF) pipelines for scalability and reliabilityEnhance SDLC practices by improving overall solution architecture, code quality, and maintainability across the development lifecycleEstablish and promote best practices by defining and implementing effective ways of working within the project teamPartner closely with the client's core team to ensure rapid identification and resolution of bugs, maintaining system stability and performanceQualificationsAzure Cloud expertise, including Azure DevOps, Azure Databricks, and Azure Data FactoryStrong programming skills in Python and PySpark, with experience in multiprocessing and multithreading for scalable data processingDeep expertise in machine learning, spanning classical time-series models, gradient boosting/tree-based methods, deep learning, and emerging foundation models for time-series forecastingDemonstrated strengths in decision-making and ownership, with a proactive, results-oriented mindsetProven ability in knowledge sharing, collaboration, and initiative, contributing to both team growth and project successBachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related fieldWould Be A PlusExperience with AWS cloud services, including designing and deploying scalable data and ML solutionsHands-on experience with Databricks Asset Bundles (DAB) for managing, packaging, and deploying Databricks projects across environmentsWe OfferOpportunity to work on cutting-edge projectsWork with a highly motivated and dedicated teamCompetitive salaryFlexible scheduleBenefits package - medical insurance, vision, dental, etc.Corporate social eventsProfessional development opportunitiesWell-equipped officePlease note that all onboarding must occur in person and you may be asked to travel to attendAbout UsGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.