Senior Data Scientist

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 Senior Data Scientist II mentors junior team members, leads development of data products, communicates complex solutions effectively, and guides decision-making within the organization.

What You Will Do:
• 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.

This position is required to sit onsite in Spring, TX 3 days / week (Tues-Thurs), and it offers a base salary range of $150,000-$170,000.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

• Bachelor’s Degree in Data Science, Information Systems, Computer Science, Engineering or other relevant field with relevant experience.
• Required -5 or more years of experience in Data Science, Information Systems, Computer Science, Engineering, or other field with relevant experience.
• Proficient in machine learning, data mining, statistical analysis, and applied AI methods using Databricks, Azure ML, and Dataiku.
• Strong experience with DataBricks
• 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.

• Career Essentials in Generative AI by Microsoft and LinkedIn
• Build Your Generative AI Productivity Skills with Microsoft and LinkedIn
• Azure AI Fundamentals
• Azure Data Scientist Associate
• Azure AI Engineer Associate/Databricks Certification

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.