Senior Data Scientist

Cotiviti is looking for an industry leading Senior Data Scientist focused on machine learning solutions to join a revolution in Healthcare Technology and build value-oriented, production level machine learning solutions. This role is not for the research-oriented data scientist but rather should be of interest to those that want to apply their knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce the cost of healthcare and improve health quality and outcomes. Cotiviti's Artificial Intelligence Group consists of data scientists, engineers and data analysts dedicated to developing and implementing robust, scalable, value-based solutions on our proprietary machine learning platform that uses a blend of best-in-class vendor solutions, together with custom built capabilities where gaps in the market exist. With access to a dedicated Hadoop based multi-node cluster the team can work with a vast amount of structured and unstructured data including claims, membership, physician demographics, medical records, and others to begin to solve some of the most pressing healthcare issues of our time. A Senior Data Scientist at Cotiviti will be given the opportunity to work directly with a team of healthcare professionals including analysts, clinicians, coding specialists, auditors, and innovators to set aggressive goals and execute on them with the team. This is for an ambitious technologist with the guts, flexibility, and personal drive to succeed in a dynamic environment where the individual is judged based on their direct impact to business outcomes.

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 machine learning and artificial intelligence techniques.
• Develop an exploratory data analysis approach with your teams to verify the initial hypothesis associated with potential Artificial Intelligence/Machine Learning use cases.
• Once verified, develop in depth EDA to create models that meet or exceed the thresholds required to deliver on the use case.
• Develop the requirements for features required in your final model and interact with the feature library team to get your features built into the library.
• Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with your work.
• Prepare your final trained model using features within the feature library and develop a validation test set for QA.
• Work with production operations to deploy your model into production and support them in monitoring model performance.
• Participate in other data science teams collaborating with your 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

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

• MS or PhD. Degree in relevant discipline (Mathematics, Statistics, Computer Science, Engineering or Health Sciences) or equivalent
• 5+ years of experience in advanced analytics and applied machine learning solutions
• 5+ years of experience in working in Big Data environments, specifically Hadoop
• History of mentoring data scientists
• 5+ years of experience developing machine learning models from novel datasets created in an exploratory data analysis environment then working with others to develop production ready versions of the models that are deployed within operational environments, tracking model impact post deployment, and versioning models appropriately
• 5+ years of experience with SQL, ability to write SQL queries to efficiently extract data from SQL Server/Oracle and Hive/Impala
• 5+ years of experience using Scala, Python, or R programming languages
• 5+ years of experience using Spark framework
• 5+ years of experience using machine learning frameworks such as TensorFlow, Scikit-learn, etc.
• Applied Machine Learning: Application of a variety of machine learning techniques to increase identification of payment integrity issues for our clients, reduce the cost of auditing processes, or increase the quality of care and outcomes for our client's members. Must have implemented machine learning solutions within production environments at scale
• Big Data Analysis: Strong ability to manage and analyze data in a Big Data environment using a variety of scripts, potentially including but not limited to Scala/Spark and Python as well as Cloud based Artificial Intelligence/Machine Learning capabilities.
• Reasoning and Problem Solving: Ability to actively and skillfully conceptualize, apply, analyze, synthesize, and/or evaluate information gathered from, or generated by, observation, experience, reflection, reasoning, or communication, as a guide to belief and action,
• Consulting: Demonstrated ability to make and gain acceptance of data-driven recommendations made to business owners. Strong ability to appropriately summarize and effectively communicate complex concepts & varied data sets to inform stakeholders, gain approval, or prompt actions; Applies to multiple audiences ranging from the analyst to executive level; Includes oral & written communication and multimedia presentation.
• Statistical Analysis: Applies statistical methodology to solve business problems; appropriately interprets meaning from results.

Mental Requirements:

• Must have flexibility and willingness to participate in the work processes of an international organization, including conference calls scheduled to accommodate global time zones.
• Must be able to perform duties with or without reasonable accommodation.
• Communicating with others to exchange information.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

• This remote role can be located anywhere in the continental US.
• Travel requirement up to 25%.
• After-hours and/or weekend work may be required where necessary for major deliverables /deadlines.
• Must be able to sit and use a computer keyboard for extended periods.
• Remaining in a stationary position, often standing or sitting for prolonged periods.
• Repeating motions that may include the wrists, hands, and/or fingers.
• Must be able to provide a dedicated, secure work area.
• Must be able to provide high-speed internet access/connectivity and office setup and maintenance.

Base compensation ranges from $140,200 to $170,000 per year. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.

Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page.

Since this job will be based remotely, all interviews will be conducted virtually.

Date of posting: 8/19/2025

Applications are assessed on a rolling basis. We anticipate that the application window will close on 9/15/2025, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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