Senior Data Scientist

Kforce has a client in Spring, TX that is seeking a Senior Data Scientist. This is a hybrid role requiring 3 days onsite, 2 days remote.

Summary:Our client is seeking a Senior Data Scientist to design, build, and deploy scalable AI and machine learning solutions using the Databricks Lakehouse Platform. In this role, you will partner with cross-functional teams to transform complex data into production-grade digital products that drive measurable business impact. You will work across the full analytics and ML lifecycle-from data ingestion and modeling to deployment, monitoring, and governance-while mentoring junior team members and advancing modern AI capabilities across the organization.* 5-7 years of experience as a Senior Data Scientist and 7+ years of experience in Data Science, Information Systems, Computer Science, Engineering, or a related field

• Demonstrated experience collaborating with multidisciplinary teams to define business requirements and deliver Databricks-based ML solutions
• Experience with modern data architectures, including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics
• Hands-on experience with AutoML platforms (e.g., Dataiku) and familiarity with Azure AutoML and Mosaic AI AutoML (Databricks)
• Deep understanding of Azure cloud technologies, including Azure Machine Learning, Azure DevOps, Cognitive Search, and Azure OpenAI
• Familiarity with Generative AI and Large Language Models, including transformer architectures, Hugging Face frameworks, and Lakehouse-native LLM serving
• Expertise in machine learning, applied AI, statistical modeling, and data mining using the Databricks Lakehouse Platform, Azure ML, and (optionally) Dataiku
• Advanced proficiency in Python, PySpark, SQL, and familiarity with tools such as Jupyter, VS Code, MLflow, and Databricks Repos
• Skilled in designing end-to-end ML pipelines and converting analytics into business impact on Databricks
• Proven track record leading AI/ML projects from ideation to production deployment
• Strong communication skills with the ability to translate analytical findings and ML outputs into actionable business insights
• Strong mentoring and leadership capabilities for developing early-career team members
• Entrepreneurial problem-solving mindset with a strong focus on experimenting, scaling, and delivering measurable value
• Demonstrated ability to solve complex data challenges with practical, scalable, and innovative solutions
• Ability to quickly learn and adapt to new domains, technologies, and Databricks platform features