Data Scientist III - Team Lead

Cotiviti • South Jordan, UT

13h • $151,819 • Remote

About The Position

Opening available for Data Scientist III - Team Lead at Cotiviti, Inc. in South Jordan, UT. This role involves building and delivering machine learning solutions to help clients identify payment integrity issues, reduce healthcare costs, and improve healthcare outcomes. The position requires leading small teams of data scientists, mentoring them, and managing their work to ensure team success. It also involves following processes for incorporating models into the machine learning platform for production execution and monitoring. Collaboration with various teams including data scientists, management, business operations, and product management is expected to assess the value and risks of AI/ML use cases. The role includes developing exploratory data analysis (EDA) approaches, creating models that meet specific thresholds, defining feature requirements, and documenting methodologies. Responsibilities also encompass preparing trained models, developing validation sets, deploying models into production with operations teams, and supporting model performance monitoring. Participation in other data science teams, knowledge sharing, and contributing to the improvement of the Cotiviti machine learning platform are also key aspects. The role includes providing feedback on data scientist performance, guiding training, reviewing work, and reporting progress to management.

Requirements

• Master’s degree or foreign equivalent degree in Computer Science or related field
• 4 years of experience developing machine learning models from novel datasets created in an exploratory data analysis environment.
• 4 years of experience developing production ready versions of the models that are deployed within operational environments, tracking model impact post deployment, and versioning models appropriately.
• 4 years of experience working in Big Data environments, specifically Hadoop.
• 4 years of experience with advanced analytics and applied machine learning solutions.
• 4 years of experience writing SQL queries to efficiently extract data from SQL Server/Oracle and Hive/Impala.
• 4 years of experience using Scala and Python.
• 4 years of experience using Spark framework.
• 4 years of experience using machine learning frameworks, including Scikit-learn.
• 4 years of experience using machine learning tools, including DataRobot.
• 4 years of experience with cloud AI platforms.
• 4 years of experience with DevOps lifecycle tools, including BitBucket, and Jira.
• 4 years of experience with natural language processing (NLP) techniques.
• 4 years of experience with deep learning techniques.
• 4 years of experience with mathematical and statistical models, including Random Forest, Gradient Boosting, and Support Vector Machines.
• 4 years of experience within the U.S. healthcare industry.

Responsibilities

• Build and deliver machine learning solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, and improve the quality of healthcare outcomes.
• Lead small teams of data scientists to develop solutions.
• Mentor data scientists and manage the work effort to make the team successful.
• Follow processes and practices that allow models to be incorporated into our machine learning platform for production execution and monitoring.
• Work with data scientists, data science management, business operations, and product management to assess the potential value and risks associated with business problems that have the potential to be solved using Artificial Intelligence/Machine Learning (AI/ML) techniques.
• Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases.
• Develop in-depth EDA to create models that meet or exceed the thresholds required to deliver on the use case.
• Develop requirements for features required in the final models and interact with the feature library team to get the features built into the library.
• Document approach, thinking, and results in standard approaches to allow other data scientists to collaborate.
• Prepare the final trained models using features within the feature library and develop a validation test set for QA.
• Work with production operations to deploy the models into production and support them in monitoring model performance.
• Participate in other data science teams collaborating with peers to support their projects.
• Participate in knowledge sharing sessions to bring new insights and technologies to the team.
• Participate in design sessions to continuously develop and improve the Cotiviti machine learning platform.
• Provide feedback on data scientist performance and development opportunities, help guide data scientists in the training, review their work, and report progress of initiatives to management.

Benefits

• medical, dental, vision, disability, and life insurance coverage
• 401(k) savings plans
• paid family leave
• 9 paid holidays per year
• 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level