Full-Time Data Scientist

Zelis is hiring a remote Full-Time Data Scientist. The career level for this job opening is Manager and is accepting USA based applicants remotely. Read complete job description before applying.

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Zelis

Job Title

Data Scientist

Posted

Career Level

Full-Time

Career Level

Manager

Locations Accepted

USA

Job Details

Essential Duties And Functions

  • Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models.
  • Understand business use case requirements and develop appropriate machine learning algorithms to provide solutions to the business problems.
  • Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights.
  • Build, test, validate models through various relevant methodologies, error metrics and calibration techniques.
  • Develop and maintain data visualizations to communicate insights and recommendations to stakeholders.
  • Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc.
  • Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach.
  • Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems.
  • Communicate data science models’ complex results and the insights to the non-technical audiences.
  • Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes.
  • Developed and implemented Gen AI use cases

Experience, Qualifications, Knowledge, And Skills

  • Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field preferred.
  • 3+ years of experience in data science, machine learning, or a related field.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with statistical analysis and modeling.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Experience with database technologies such as SQL, NoSQL, or MongoDB.
  • Strong problem-solving skills and the ability to analyze complex data sets.
  • Excellent communication skills and the ability to present technical concepts to non-technical stakeholders.
  • Gen AI experience is a must

Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies.

As a leading payments company in healthcare, we guide, price, explain, and pay for care on behalf of insurers and their members. We’re Zelis in our pursuit to align the interests of payers, providers, and consumers to deliver a better financial experience and more affordable, transparent care for all. We partner with more than 700 payers, including the top-5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, over 4 million providers, and 100 million members, enabling the healthcare industry to pay for care, with care. Zelis brings adaptive technology, a deeply ingrained service culture, and a comprehensive navigation through adjudication and payment platform to manage the complete payment process.

Commitment to Diversity, Equity, Inclusion, and Belonging

FAQs

What is the last date for applying to the job?

The deadline to apply for Full-Time Data Scientist at Zelis is 11th of September 2024 . We consider jobs older than one month to have expired.

Which countries are accepted for this remote job?

This job accepts [ USA ] applicants. .

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