Summary: The Data Scientist will work closely with the Business Intelligence, Analytics and Data Engineering & Services teams. This position will lead efforts in providing deep analytical insights from massive complex healthcare datasets and assist in building and maintaining robust data pipelines to garner meaningful insights.

Essential Duties & Functions: 

• Leverage huge sets of health care payer and related data to analyze cost and provider network efficiencies to produce innovative solutions and optimize the delivery of our product offerings.

• Apply knowledge of statistics, machine learning and data science technologies to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement

• Perform deep-dive analyses using SQL & python data science & big data tools to garner actionable 

• Working with SQL, Python and Apache Spark to perform iterative analysis and integrate into data ETL/pipelines.

• Overseeing data functions such as ingestion of structured/unstructured data, transformation, standardization and QA to build robust and automated data pipelines.

• Document and maintain robust processes that move large amounts of complex data between multiple data storage systems including text extracts, RDBMS and parquet formats.

• Monitoring, reviewing, and analyzing inbound and outbound data.

• Proactively identifying issues and trends through data analysis and manipulation.

• Presenting findings in reports and utilizing various visualization techniques and tools like Power BI and Python data visualization tools.

• Communicating effectively with cross functional teams.

• Creating and maintaining code through GitHub repository for change control.

• Supporting off-hours data processing and emergency requests

Experience, Qualifications, Knowledge and Skills: 

• Knowledge of HealthCare Claims, Payer and related data.

• Advanced Python skills including popular data science libraries such as Pandas, Numpy, Matplotlib or similar.

• Advanced SQL skills.Experience with big data using Spark(Pyspark, Scala) and knowledge of Spark Internals.

• Experience with AWS.

• Experience with Rust a big plus.

• Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.

• Experience with version control software (Git preferred), agile development experience, and knowledge of design patterns.

• Experience working independently, contributing as a member of the team and result driven.

• Strong presentation skills to explain and present advanced statistical methods using non-technical language to key business stakeholders.

Physical Demands: 

● Sedentary work - Exerting up to 10 pounds of force occasionally, and/or a negligible amount of force frequently to lift, carry, push, pull or otherwise move objects in daily work use (laptop, monitors, et. al). Sedentary work involves sitting most of the time. Use of keyboards (typing) and exposure to computer screens occurs daily. Pleasant work environment in office locations with occasional noise or dust.

● The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

● While performing the duties of this job, the employee is regularly required to stand; walk; sit; use hands; reach with hands and arms; think; and talk or hear (multi-channel, two way communication during work hours is required).

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.

Zelis provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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