Senior Data Scientist

**NO C2C** The Senior Data Scientist II analyzes complex structured and unstructured data using state-of-the-art data science methods for data driven decision making. Develop algorithms that enable machines to perform tasks that typically require human intelligence. Moreover, this role uses both knowledge of data science and Artificial Intelligence methods and applies them to solve real world problems. The candidate will mentor junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization. Job Duties:
Apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture
Utilize modern machine learning methods and domain understanding to support the creation of new products and services, leveraging MLflow for experiment tracking and model lifecycle management
Collaborate with data and analytics teams and cross-functional departments such as digital, services, class, and engineering to build scalable ML solutions and deliver actionable insights
Write independent source code in Python, PySpark, and SQL, validate and test models, and use Databricks Feature Store for consistent feature reuse and governance
Design and implement robust data architectures using Delta Lake and manage data assets securely via Unity Catalog and Azure Data Lake
Combine Agile methodologies with data science practices to build advanced analytics and AI products using Databricks Workflows and Azure ML Pipelines
Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML, ensuring scalability, performance, and governance
Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions using Databricks Jobs, CI/CD pipelines, and Azure DevOps
Support organizational decision-making based on the results of analytics efforts, ensuring traceability and governance via Unity Catalog and Azure Purview
Work independently on data engineering, preprocessing, and preparation tasks using Databricks Notebooks, SQL Warehouses, and Azure Synapse Analytics
Mentor data scientists, ASPIRES, and interns, providing guidance and support in their professional development and technical growth
Evaluate and partner with external customers, vendors, university relations, and other teams to drive innovation and collaboration
Stay current in the field of AI and advanced analytics, with a focus on innovations within the Databricks, Azure, and OpenAI ecosystems, including LLMs, GenAI, and MLOps
Develop and deploy scalable and interpretable data products per business-defined requirements using Databricks Repos, Model Serving, and Azure Machine Learning Knowledge, Skills and Abilities Required
Strong written and verbal communication skills, with the ability to translate complex data into actionable insights
Experienced in working with cross-functional teams to understand business challenges and deliver data-driven solutions
Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku
Skilled in developing scalable ML solutions and translating analytics into business impact
Advanced proficiency in Python, PySpark, SQL, and tools such as Jupyter, VS Code, and MLflow
Experience with database technologies and architectures including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics
Hands-on experience with AutoML platforms such as Dataiku, and familiarity with Azure AutoML
Deep understanding of Azure Cloud resources, including Azure Machine Learning, Azure DevOps, Azure Cognitive Search, and Azure OpenAI
Familiarity with Generative AI solutions, Large Language Models, and NLP frameworks like Hugging Face Transformers
Ability to quickly adapt and learn new domains, technologies, and platforms
Proven ability to lead data-driven projects and guide strategic decisions through analytics
Strong mentoring skills to support junior team members and interns
Demonstrated ability to solve complex problems with innovative and practical solutions
Entrepreneurial mindset with a focus on experimentation, scalability, and business value
Working knowledge of the Health, Safety, Quality, and Environmental Management Systems Minimum years of Experience 2 to 3 years’ work experience as a Senior Data Scientist and over 7 years' experience in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience. Required/Preferred Education Requirements Preferred - Master’s Degree in Data Science, Data Analytics, Information Systems, Computer Science, Engineering or other relevant field. Required – Bachelor’s Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience. Required/Preferred Professional Requirements
Prefer to have Career Essentials in Generative AI by Microsoft and LinkedIn
Prefer to have Build Your Generative AI Productivity Skills with Microsoft and LinkedIn
Prefer to have Azure AI Fundamental
Prefer to have Azure Data Scientist Associate
Prefer to have Azure AI Engineer Associate