Senior Data Scientist

Labcorp • Durham, NC

4d • Hybrid

About The Position

Senior Data Scientist Durham or Burlington NC location The Senior Data Scientist identifies opportunities through exploratory data analysis, develops and deploys machine learning models, and collaborates with diverse stakeholders to implement data-driven solutions Job Responsibilities P roduce innovative AI/ML solutions that drive business value across the Early Development Research areas of Labcorp Lead data science projects from requirements gathering through deployment with emphasis on Early Development area of organization Develop, validate, and implement machine learning models that solve real business problems Analyze complex datasets to identify patterns and opportunities for process improvement Translate technical concepts and findings into clear, actionable insights for non-technical audiences Balance business requirements with technical constraints to deliver optimal solutions Interpret and visualize data effectively for different audience levels Stay current with advancements in AI/ML and evaluate new technologies for potential applications Mentor junior team members and contribute to the AI team's knowledge base

Requirements

• Master's degree in Computer Science, Statistics, Mathematics, Engineering or related field with 4 years or more experince in data science experience OR PhD with 2 years or more years of experince in data science
• 5 years or more of experience with Python programming
• 3 years or more of leading technical projects
• 3 years or more of using AWS services

Nice To Haves

• AWS Services specific including Lambda, Glue, ECS, RDS, API Gateway, Bedrock, Step Functions, SQS, Athena, Sagemaker, Jenkins
• Python Packages boto3, pandas, NumPy, TensorFlow/PyTorch, Matplotlib/Seaborn/Plotly, streamlite
• Once fully proficient in position open to hybrid schedule of 3 days in office in Durham or Burlington, NC and 2 days remote. This position is not open to fully remote worker
• Broad knowledge of machine learning techniques including classification, regression, and deep learning approaches
• Deep expertise in at least one specialized ML area (e.g., reinforcement learning, optimization, Generative AI, computer vision, time series forecasting, predictive modeling)
• Ability to work with diverse data types including numerical, text, time series, and structured/unstructured data
• Strong problem-solving abilities and curiosity to navigate ambiguous business challenges
• Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders
• Proactive approach to identifying opportunities and solving problems
• Adaptability to work across various business domains and problem types
• Experience assessing tradeoffs in model development (e.g., accuracy vs. latency) based on business needs

Responsibilities

• Produce innovative AI/ML solutions that drive business value across the Early Development Research areas of Labcorp
• Lead data science projects from requirements gathering through deployment with emphasis on Early Development area of organization
• Develop, validate, and implement machine learning models that solve real business problems
• Analyze complex datasets to identify patterns and opportunities for process improvement
• Translate technical concepts and findings into clear, actionable insights for non-technical audiences
• Balance business requirements with technical constraints to deliver optimal solutions
• Interpret and visualize data effectively for different audience levels
• Stay current with advancements in AI/ML and evaluate new technologies for potential applications
• Mentor junior team members and contribute to the AI team's knowledge base

Benefits

• Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.
• Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.
• Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees