Senior Data Scientist
Job Description
Responsibilities
- Interpret data and learn how to present to others the stories they represent through rich and intuitive visualizations.
- Learn to develop novel ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.
- 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 on a daily basis.
- Work closely with engineering teams and with some supervision 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.
Requirements
- Experience in data analysis, statistical learning, and artificial intelligence.
- Experience with multiple deep learning techniques such as CNN, LSTM, RNN, etc.
- Experience with statistical methodologies and machine learning techniques such as neural networks, graphical models, ensemble methods and natural language processing.
- Experience using cloud technologies such as AWS with tools such as S3, Lambda, Athena, API Gateway, SageMaker, etc.
- Strong data visualization skills.
- Proficiency with Python and optionally R.
- Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, TensorFlow, scikit-learn.
- 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.
- Lead discussions with senior leadership at the department or functional level.
- Master of evaluation techniques for supervised and unsupervised techniques. Knows to evaluate the quality of data and determine gaps in data or assumptions.
Education
- Master's Degree with at least 5 years' experience or Ph.D. with 3 years of experience in a Data Science setting.
- Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.
Labcorp is proud to be an Equal Opportunity Employer:
As an EOE/AA employer, Labcorp strives for diversity and inclusion 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 of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), 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. We encourage all to apply.
For more information about how we collect and store your personal data, please see our Privacy Statement.
Date Posted
03/05/2023
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