Senior Data Scientist

Senior Data Scientist Location: Nashville, Tennessee, United States Industry: IT Services and IT Consulting Work Setting: Onsite Are you passionate about turning large-scale data into actionable insights and building advanced AI solutions that drive innovation at cloud scale?

We are seeking a Senior Data Scientist to lead high-impact analytical initiatives, develop machine learning and large language model solutions, and help optimize complex infrastructure operations through data-driven decision making.

What You'll Do

• Lead exploratory research, statistical analysis, and advanced analytics initiatives to uncover insights from large and complex datasets.
• Transform business challenges into scalable data science and machine learning solutions that drive measurable operational improvements.
• Design, develop, optimize, and deploy machine learning models and AI solutions in production environments.
• Build and operationalize large language model (LLM) applications to support automation, decision-making, and business intelligence initiatives.
• Develop predictive, prescriptive, and optimization models to improve infrastructure planning, operational efficiency, and resource utilization.
• Partner with cross-functional engineering, product, operations, and business teams to identify opportunities for data-driven innovation.
• Design and implement scalable data pipelines, data processing workflows, and analytical frameworks.
• Analyze high-volume structured and unstructured data to identify trends, anomalies, risks, and growth opportunities.
• Create impactful data visualizations, dashboards, and executive-level reporting to communicate insights and recommendations.
• Drive model lifecycle management, monitoring, performance evaluation, and continuous improvement initiatives.
• Establish and promote best practices for machine learning engineering, MLOps, experimentation, and model governance.
• Mentor team members and contribute to the advancement of data science methodologies, tools, and standards.
• Influence strategic decisions through quantitative analysis, forecasting, and evidence-based recommendations.

What We're Looking For

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• Strong experience in data science, machine learning, statistical modeling, and advanced analytics.
• Proven ability to build and deploy machine learning solutions in large-scale production environments.
• Hands-on experience working with large and complex datasets across enterprise or cloud-based ecosystems.
• Strong problem-solving skills with the ability to convert ambiguous requirements into analytical solutions.
• Excellent communication skills with the ability to present technical findings to both technical and non-technical stakeholders.
• Experience collaborating across multiple teams, functions, and geographically distributed organizations.
• Technical Skills Advanced proficiency in Python and/or R for data analysis, modeling, and automation.
• Strong SQL skills with experience querying and analyzing large datasets.
• Deep understanding of statistical methods, hypothesis testing, predictive modeling, experimentation, and data mining techniques.
• Experience developing and deploying machine learning models using industry-standard frameworks and tools.
• Hands-on experience with Large Language Models (LLMs), Generative AI technologies, and AI-driven application development.
• Knowledge of MLOps practices, model deployment, monitoring, version control, and automation frameworks.
• Experience building and maintaining scalable data pipelines and data processing solutions.
• Strong data visualization and storytelling capabilities using modern analytics and reporting tools.

Preferred Qualifications

• Experience working within cloud infrastructure, cloud operations, or large-scale distributed systems environments.
• Knowledge of optimization techniques, forecasting models, and operational analytics.
• Experience supporting enterprise-scale analytics and business intelligence initiatives.
• Familiarity with modern cloud platforms, data engineering concepts, and AI/ML deployment architectures.
• Experience mentoring data scientists and leading complex analytical projects from concept to production.