À propos
– Durham or Burlington, NC
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 the Early Development area of the 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 Computer Science, Statistics, Mathematics, Engineering with 4+ years of experience in data science or a PhD with 2+ years of experience in data science.
5+ years of experience with Python programming.
3+ years of leading technical projects.
3+ years of using AWS services.
Preferred Skills
AWS services: Lambda, Glue, ECS, RDS, API Gateway, Bedrock, Step Functions, SQS, Athena, SageMaker, Jenkins.
Python packages: boto3, pandas, NumPy, TensorFlow/PyTorch, Matplotlib/Seaborn/Plotly, streamlit.
Additional Job Standards
Once fully proficient, position open to a hybrid schedule of 3 days in office (Durham or Burlington, NC) and 2 days remote. Position is not open to fully remote workers.
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 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 scheduled to work less than 20 hours, casual, intern, and temporary employees are only eligible to participate in the 401(k) Plan. Employees on a 7 on/7 off schedule are eligible for all the foregoing benefits except PTO or FTO.
EEO Statement 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. All qualified applicants will be considered for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital status, 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. Qualified applicants with arrests or convictions will also be considered in accordance with applicable law.
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Compétences linguistiques
- English
Avis aux utilisateurs
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