Senior Data Scientist

Senior Data Scientist

Durham or Burlington NC location Hybrid 3 days in office, 2 days remote

Day shift 8:00am-5:00pm

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

• 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

Minimum Qualifications

• Master's degree in Big Data Analytics, Computer Science, Statistics, Mathematics OR Engineering
• 3 years or more experince working full time as a Data Engineer
• 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

Preferred Skills

• 6 or more months working at Labcorp as a Data Scientist
• 2 years or more using AWS Services specific including Lambda, Glue, ECS, RDS, API Gateway, Bedrock, Step Functions, SQS, Athena, Sagemaker, Jenkins
• 2 years or more using Python Packages boto3, pandas, NumPy, TensorFlow/PyTorch, Matplotlib/Seaborn/Plotly, streamlite

Additional Job Standards

• 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

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. For more detailed information, please click here.


Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.


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