Data Scientist (Remote)

Posted 3 Hours Ago
Hiring Remotely in United States
Remote
Junior
Healthtech • Information Technology • Software
The Role
Design, develop, and deploy predictive and machine learning models for healthcare products. Extract, clean, and transform data using Python and SQL; perform EDA; build automated ML and ETL pipelines on Azure Databricks; apply NLP (Huggingface, NLTK, Sentence-BERT) and classification methods (XGBoost, neural nets); track experiments with MLflow/Hyperopt; ensure PHI/PII and HIPAA-compliant solutions; collaborate with engineering, product, and clinical teams and document results. Remote position.
Summary Generated by Built In

Availity delivers revenue cycle and related business solutions for health care professionals who want to build healthy, thriving organizations. Availity has the powerful tools, actionable insights and expansive network reach that medical businesses need to get an edge in an industry constantly redefined by change.

Title: Data Scientist

Duties: The Data Scientist Availity LLC in Jacksonville, FL will design, develop and implement predictive, statistical, and machine learning models to support operational and product decisions. Extract, clean, and transform structured and unstructured data from multiple sources using Python and SQL. Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights within large datasets. Develop and maintain automated data, machine learning pipeline and ETL processes to enable scalable model training and evaluation. Research and prototype new algorithms and statistical methods to enhance product integrity and user experience. Develop automated processes using NLP techniques to uncover hidden insights from text data. Collaborate with engineering, product and clinical team to define data requirements and integrity. Document modeling approaches, data mining techniques, and results for internal review. Position is 100% remote.

Requirements: Master’s degree in Data Science, Analytics, Information Systems, or a directly related field, plus 1 year of experience as a data scientist or related occupation. Must have 1 year of experience with each of the following: (1) Restful APIs; (2) designing, developing, and maintaining end-to-end machine learning pipelines on Azure Databricks using Pyspark, scikit-learn and pandas for balanced and imbalanced datasets; (3) developing models with NLP techniques using Huggingface, NLTK, Sentence BERT model, transformers, and fine-tuning; (4) designing medical document classification model using XGBoost and neural networks; (5) experimenting, designing and tracking machine learning models with MLFlow and Hyperopt library; (6) building solutions for healthcare specific data problems, following PHI/PII and ensuring HIPPA compliance; and (7) continuous integration, testing, deployment, and release methodologies.

This notice is subject to Availity LLC's employee referral program.

Interested candidates should apply online at https://availity.wd1.myworkdayjobs.com/Availity_Careers_US or send resume to [email protected]  and reference job code 028. Contact Emily Carlson at [email protected]  if you have questions or need information about this application.

#LI-DNI #LI-NDI #LI-DNP

Video Camera Usage:

Availity fosters a collaborative and open culture where communication and engagement are central to our success.  As a remote first company, we are also camera-first and provide all associates with camera/video capability to simulate the office environment. If you are not able to use your camera for all virtual meetings, you should not apply for this role.

Having cameras on helps create a more connected, interactive, and productive environment, allowing teams to communicate more effectively and build stronger working relationships.  The usage of cameras also enhances security and protects sensitive company information. Video participation is required to ensure that only authorized personnel are present in meetings and to prevent unauthorized access, data breaches, preventing social engineering, or the sharing of confidential information with non-participants.

Disclaimers:

Availity is an equal opportunity employer and makes decisions in employment matters without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, religion, marital status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances.

 

Availity is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

 

NOTICE: Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. When required by state law or federal regulation, Availity uses I-9, Employment Eligibility Verification in conjunction with E-Verify to determine employment eligibility. Learn more about E-Verify at http://www.dhs.gov/e-verify.

Click the links below to view Federal Employment Notices.

Family & Medical Leave Act  Equal Employment Law Poster  Pay Transparency  Employee Polygraph Protection Act  IER Right to Work Poster  Important Notice about Employee Rights to Organize and Bargain Collectively with Their Employers

Skills Required

  • Master's degree in Data Science, Analytics, Information Systems, or directly related field
  • Minimum 1 year experience as a data scientist or related occupation
  • Minimum 1 year experience with RESTful APIs
  • Minimum 1 year designing, developing, and maintaining end-to-end ML pipelines on Azure Databricks using PySpark, scikit-learn and pandas
  • Minimum 1 year developing models with NLP techniques using Huggingface, NLTK, Sentence-BERT, transformers, and fine-tuning
  • Minimum 1 year designing medical document classification models using XGBoost and neural networks
  • Minimum 1 year experimenting, designing and tracking ML models with MLflow and Hyperopt
  • Experience building healthcare-specific data solutions handling PHI/PII and ensuring HIPAA compliance
  • Experience with continuous integration, testing, deployment, and release methodologies (CI/CD)
  • Ability to use video camera for all virtual meetings (camera-on policy)
  • Must pass a drug test before beginning employment
  • Must complete employment eligibility verification (I-9) and E-Verify when required

Availity, LLC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Availity, LLC and has not been reviewed or approved by Availity, LLC.

  • Retirement Support - Retirement Support: The 401(k) match is described with a clear formula and immediate vesting, which strengthens the perceived total-rewards value. Company-paid short- and long-term disability and life/AD&D coverage further reinforce the overall security-oriented package.
  • Leave & Time Off Breadth - Leave & Time Off Breadth: Unlimited PTO for exempt roles and a sizable PTO bank plus paid holidays for non-exempt roles indicate broad time-off availability. Paid volunteer time and family medical leave add additional time-away options beyond standard vacation.
  • Wellbeing & Lifestyle Benefits - Wellbeing & Lifestyle Benefits: A recurring wellness reimbursement (e.g., fitness/ergonomics) and access to telemedicine and an EAP point to tangible lifestyle and mental-health supports. Tuition/education assistance and a points-based recognition program contribute additional non-cash value.

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The Company
HQ: Jacksonville, FL
1,441 Employees
Year Founded: 2001

What We Do

Availity is the place where healthcare finds the answers needed to shift focus back to patient care. We work to solve communication challenges in healthcare by creating a richer, more transparent exchange of information among health plans, providers, and technology partners. As the nation’s largest health information network, Availity facilitates billions of clinical, administrative, and financial transactions annually. Our suite of dynamic products, built on a powerful, intelligent platform, enables real-time collaboration for success in a competitive, value-based care environment.

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