
Senior Data Insight Analyst
6 days ago
Cotiviti is seeking a skilled Data Scientist to uncover valuable insights from vast amounts of data, driving smarter decisions and enhancing our products. This role offers the opportunity to apply data mining techniques, statistical analysis, and build high-quality prediction systems integrated with innovative healthcare solutions.
Job Responsibilities:
- Engage with customers to identify opportunities to integrate data/insights into decision-making processes.
- Understand and translate business requirements from internal and external stakeholders into data product features.
- Process, cleanse, and verify the integrity of data used for analysis and modeling.
- Conduct exploratory data analysis to verify initial hypotheses associated with potential AI/ML use cases.
- Prepare final trained models and develop validation test sets for quality assurance purposes.
- Work with production operations to deploy models and monitor model performance metrics.
- Apply statistical methodologies to solve complex business problems; appropriately interpret results and findings.
- Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas/analytics.
- Prepare project documentation and conduct end-user training sessions.
- Conduct on-demand analyses to support key internal and client-facing deliverables and objectives.
- Cultivate and share best practices in structured problem-solving and quantitative/qualitative analysis techniques.
- Complete all responsibilities as outlined on annual Performance Plans.
About You:
- Should hold a Bachelor's or Master's degree in data/analytics, computer science, engineering, economics, mathematics, or statistics fields.
- Should have experience using machine learning tools to develop production-strength models including Python, TensorFlow, Keras, pandas, numpy, scikit-learn.
- Should have a deep understanding of supervised and unsupervised algorithms and their applications.
- Should have experience extracting and transforming source data using SQL, Spark, Scala, Hive, Impala.
- Should be able to package insights in highly consumable and flexible formats for various audiences.
- Should be able to work well independently and with cross-functional teams in agile environments.
- Should be able to handle multiple tasks, prioritize, and meet deadlines and expectations.
- Experience in healthcare analytics, consulting, technology/services, product development, or other relevant roles will be an advantage.
- Should develop and maintain positive working relationships with colleagues and stakeholders.
- Should share ideas and information and assist colleagues unprompted.
- Should take pride in the achievement of team objectives and goals.
- Should have credibility with the team and senior managers.
- Should be self-motivated and driven to achieve results and outcomes.
- Should work with a sense of urgency and importance.
- Should have a high customer service ethic and be passionate about meeting customer expectations and needs.
- Should keep pace with change and acquire knowledge/skills as the business evolves and grows.
- Should handle confidential information with sensitivity and discretion.
- Should think for the benefit of the organization and team.
- Should demonstrate independent thinking and come up with approaches on different aspects of work.
- Should be a role model for the team and a subject matter expert of the associated domain.
- Should exhibit behaviors consistent with Cotiviti Values: Open, Customer Driven, Accountable, Collaborative.
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