Data Scientist I @ Cotiviti | Jobright.ai
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Cotiviti · 2 days ago

Data Scientist I

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Responsibilities

Create actionable and pragmatic data science models with minimal supervision.
Understand business needs and identify potential use cases in more than one business unit. Work with external partners to develop a minimal viable product to meet those needs while resolving any issues that may arise.
Consistently collaborate with fellow data scientists and frequently interact with business partners, project managers, cross-functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value.
Continuously work to be updated on the latest developments in machine learning and the healthcare industry. Work with key stakeholders both within R&D and Operations, along with product management to assess the potential value and risks associated with business problems that have the potential to be solved using machine learning and AI techniques.
Develop an exploratory data analysis approach to verify the initial hypothesis associated with potential AI/ML use cases.
Document your approach, thinking and results in standard approaches to allow other data scientists to collaborate with you on this work.
Prepare your final trained model 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.
Provide End to End value-based solutions, including data pipeline, model creation and application for end user.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine learningBig dataPythonTensorflowKerasPandasNumpyScikit-learnSparkScalaHiveImpalaSqlRelational databasesProblem-solvingHard-workingCollaborativeFlexibleProfessionalValue-drivenMulti-tasking

Required

MS or PhD. Degree in relevant discipline (Math, Statistics, Computer Science, Engineering or Health Sciences) or commensurate professional work experience.
1-3 years experience building and deploying Machine learning models
1-3 years experience in working in Big Data environments
Experience developing machine learning models in an exploratory data analytics environment and working with others to develop production ready versions of the models that are deployed within operational environments
Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keraes, pandas, numpy, scikit-learn, spark, scala, hive, impala
Ability to write SQL queries to efficiently extract data from relational databases
Ability to work independently as well as collaborate as a team
Flexibility to work with global teams as well geographically dispersed US based teams
Professional with ability to properly handle confidential information
Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
Ability to handle multiple tasks, prioritize and meet deadlines
Ability to work within a matrixed organization
Proficiency in all required skills and competencies above

Company

Cotiviti

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Cotiviti enables healthcare organizations to deliver better care at lower cost through advanced technology and data analytics, helping to ensure the quality and sustainability of how healthcare is delivered in the United States.

H1B Sponsorship

Cotiviti has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (77)
2022 (91)
2021 (84)
2020 (68)

Funding

Current Stage
Late Stage

Leadership Team

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Adam Gilbert
Director, Interoperability Operations and Partnerships
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Chris McIntyre
Sr. Program Manager, RQNC Operations
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Company data provided by crunchbase
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