Labcorp is hiring a Principal Data Scientist. This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities, and deliver solutions to internal business users. Design, develop, and evaluate predictive models and cloud-hosted deployments of said models. Generate and test hypotheses. Own team data science expertise, be a resource for architecture and design patterns, and be able to step in to help in a hands-on capacity with all parts of the SDLC. We are seeking an experienced professional with a PhD and five years of professional experience or a Master's Degree combined with seven years of professional experience.
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RESPONSIBILITIES
- Leadership in modeling, technology, technical product development / design, and technical product ownership
- Mentor junior team members in a hands-on capacity (be technical consultant for team members through pair programming, cloud services, application design, etc.)
- Refine and develop team best practices in modeling, software engineering, and dev ops.
- Develop and deliver presentations to communicate technical ideas and analytical findings to non-technical partners and senior leadership, including underwriters and IT professionals
- Build underlying software infrastructure to better manage, integrate and mine the data that LabCorp processes daily
- Participate in the full development cycle from product inception, research and prototyping to release in production
- Write production quality code while implementing your own ideas.
- Drive project execution and implement a robust plan for measuring success. Develop success metrics to be used across projects
- Interpret data and present to non-technical stakeholders the stories they represent through rich and intuitive visualizations
- Develop novel ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets
REQUIREMENTS
- Experience in data analysis and statistical learning
- Experience in dev ops (CI/CD and scripting to support these activities)
- Experience with software engineering and architecture best practices (design, build, and deploy applications; testing frameworks; security)
- Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, large language models, and natural language processing
- Proficiency with Python and SQL are required
- Strong data visualization skills
- Technical proficiency and demonstrated success in scientific creativity, collaboration with others and independent thought
- Ability to collaborate with the team and translate existing research into practical solutions and products ability to build and manage relationships with various collaborators across and outside the company
- Comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes
- Drive project execution and implement a robust plan for measuring success
- Familiarity with health-related data a plus but not required
- Lead discussions with senior leadership at the department or functional level
- Languages: Python, SQL, Spark (Pyspark)
- Cloud: S3, Athena, Glue, EC2, Sagemaker, Step functions, API Gateway, Jenkins, Lambda, Urban, Code Deploy, Artifactory, Veracode, Kubernetes, Docker, ECS, EKS, Git/Bitbucket, Hugginface, Quicksight, VPC, SNS, EBS, Kinesis, iAM, Cloudwatch, Splunk, Ground Truth, Bedrock
- Technologies: git, Jira
EDUCATION
- Master's Degree with at least 7 years of experience or Ph.D. with 5 years of experience in a full-stack (excluding front-end) data science setting
- Advance degree is required in Computer Science, Engineering, Statistics, Mathematics, or related field
- Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications
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. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. 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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