Senior Data Scientist

Labcorp is hiring a Senior Data Scientist.  This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.  Apply knowledge of statistics, data modeling, data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities and make valuable discoveries.  Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses.  

RESPONSIBILITIES

• Interpret data and learn how to present to others (team members, business stakeholders) the stories they represent through rich and intuitive visualizations at an audience-appropriate level. 
• Develop and use novel techniques to explore, visualize, and understand diverse, high dimensional and poorly curated data sets. 
• Present 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. 
• 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 in a collaborative code environment. 

• Experience with multiple deep learning techniques such as Transformers, CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn. 
• Master of evaluation techniques for supervised and unsupervised techniques. Knows how to evaluate the quality of data and determine gaps in data or assumptions.   
• Strong data visualization skills. 

Technologies and Tools 

• Experience using cloud technologies such as AWS with services such as S3, Lambda, Athena, API Gateway, SageMaker, Glue, ECR, ECS, EKS, Quicksight, Step Functions, VPC, Cloudwatch, IAM, Kinesis, and Bedrock 

• Languages:  Python, SQL, R, Spark (PySpark) 
• Packages: Scikit-learn, Pandas, Numpy, Scipy, Tensorflow, Pytorch, SpaCy, Spark/PySpark, Spark Mllib, Matplotlib, Seaborn, Statsmodel, Keras, OpenCV, Prophet, Plotly, Boto3 
• Technologies: git, Docker, Jira, Bitbucket, Jenkins, Splunk, Urban Code Deploy, Veracode 

REQUIREMENTS

• Experience in data analysis, statistical learning, and machine learning. 
• Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs. 
• Proficiency with Python. Can develop meaningful python code using object-oriented programming and functional programming. Writes tests for code.  Can debug errors quickly. 
• Strong data visualization skills. 
• Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow, scikit-learn. 
• Programming experience in bash, SQL, and other non-relational databases (e.g. vector) is highly desirable. 
• Technical proficiency and demonstrated success in scientific creativity, collaboration, 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. 

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

• Must provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications. 

EDUCATION

• Masters + 4 years of experience or PhD + 2 years of experience.