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Über
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 teams knowledge base
Minimum Qualifications
Masters degree in Computer Science, Statistics, Mathematics, Engineering or related field with 4 years or more experience in data science experience OR PhD with 2 years or more years of experience 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
Preferred Skills
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
Additional Job Standards
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
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 visit the link provided.
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.
We encourage all to apply
Sprachkenntnisse
- English
Hinweis für Nutzer
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