Data Scientist

Title: Senior Data Scientist Location: Spring TX - Hybrid Duration: Contract to Hire - No Sponsorships Currently Experience: Minimum 9+ Years Job Duties/Roles • 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 (KSAR) • 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 ABS Health, Safety, Quality, and Environmental Management System. 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 Fundamentals • Prefer to have Azure Data Scientist Associate • Prefer to have Azure AI Engineer Associate Thanks & Regards Mike NAVA Software Solutions Email: mike.p@navasoftware.com