LabCorp is seeking a Data Scientist to join our team in Durham, NC, with the flexibility of a hybrid work schedule!

Work Schedule: Monday- Friday 8:00am- 5:00pm, additional days and hours as needed.

To support the development of innovative AI/ML solutions that drive business value across multiple departments at LabCorp. The Data Scientist contributes to exploratory data analysis, helps develop and implement machine learning models, and works with team members to deliver data-driven solutions. This role requires technical proficiency and a collaborative approach to problem-solving.

Essential Duties and Responsibilities

• Contribute to data science projects throughout the development lifecycle
• Implement and validate machine learning models that solve business problems
• Analyze datasets to identify patterns and insights
• Assist in translating technical concepts for presentation to stakeholders
• Apply appropriate machine learning techniques to address business needs
• Create effective data visualizations to communicate findings
• Stay current with advancements in AI/ML
• Collaborate with other team members on solution development

Physical Demands and Environmental Conditions

• Regularly works with a computer for approximately 6-8 hours a day
• Must be able to read and understand scientific and complex directions

Minimum Education & Previous Experience Required

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering or related field with 2+ years of relevant data science experience, or Master's degree with 0-1 years of experience
• 2+ years of experience with Python programming
• Experience contributing to data science or analytics projects

Knowledge, Skills & Abilities

• Working knowledge of machine learning techniques including classification, regression, and basic deep learning approaches
• Solid understanding of statistical analysis and data preprocessing methods
• Ability to work with structured data and common data formats
• Problem-solving abilities and willingness to learn
• Good communication skills to collaborate effectively with team members
• Attention to detail and commitment to data quality
• Ability to follow best practices in model development and implementation

Technologies and Tools

• Required: Python, SQL, basic data visualization skills
• Desirable: Familiarity with AWS services
• Relevant Packages: Scikit-learn, Pandas, NumPy, basic knowledge of TensorFlow/PyTorch, Matplotlib/Seaborn/Plotly

At Labcorp we have a passion in helping people live happy and healthy lives. Every day we provide vital information that helps our clients and patients understand their health. If you are passionate about helping people and have a drive for service, then Labcorp could be a great next career step!

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.

We encourage all to apply

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