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Data Scientist III (Remote)

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 
Florida (USA), United States

Offer summary

Qualifications:

5+ years experience in data science, Bachelor’s degree in a quantitative field, Proficiency with Pandas, Scikit-learn, PyTorch, Healthcare sector knowledge is preferable, Mentorship experience is essential.

Key responsabilities:

  • Lead design and deployment of data models
  • Operationalize data solutions within AWS
  • Mentor junior data scientists
  • Collaborate on decision science roadmap
  • Innovate using latest data science trends
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Availity Large https://www.availity.com/
1001 - 5000 Employees
See more Availity offers

Job description

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.

At Availity, we're not just another Healthcare Technology company; we're pioneers reshaping the future of healthcare! With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we're a global team united by a powerful mission.

We're on a mission to bring the focus back to what truly matters – patient care. As the leading healthcare engagement platform, we're the heartbeat of an industry that impacts millions. With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.

Join our energetic, dynamic, and forward-thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We're transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation's premier healthcare ecosystem.

As a Data Scientist III, you’ll be reporting into the Decision Science team and playing a pivotal role in designing and operationalizing advanced analytics and AI solutions within our AWS environment. You’ll need to be a self-starter who is curious with strong critical thinking and problem solving abilities. Your experience will be crucial in mentoring junior data scientists and helping to lead through design, methodology and approach in complex projects. You will be developing models in a Jupyter environment and deploying them for use in production on AWS.

Sponsorship, in any form, is not available for this position.

Location: Remote, US

Role qualifications:

  • Experience: 5+ years of experience in data science, with a proven track record of designing and implementing data-driven solutions and bachelor’s degree (CS, Math, Data Science, engineering or other quantitative field)
  • Technical Skills: Proficiency in working with Pandas, Scikit-learn, and PyTorch. Good understanding of Python application development.
  • Healthcare Domain Knowledge: Experience in the healthcare sector is highly desirable, with an understanding of healthcare data standards and regulations (e.g., HIPAA).
  • Mentorship Experience: Previous experience mentoring or leading junior data scientists or analytics professionals.
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
  • Communication: Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Nice to have:

  • Experience working with large scale healthcare claims and clinical data
  • Familiar with healthcare data standards
  • Experience with (preferably) AWS or another public Cloud Platform services and tools
  • Familiarity with Terraform and git
  • Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA
  • Knowledge/experience with of MLOps concepts.

Key Responsibilities:

  • Design & Development: Lead the design, development, and deployment of scalable data science models and solutions that support healthcare technology initiatives within our AWS technology stack.
  • Operationalize Solutions: Ensure data science solutions are effectively operationalized, enabling smooth integration into existing systems and processes, particularly within AWS.
  • Mentorship: Provide guidance, coaching, and mentorship to junior data scientists, fostering a culture of continuous learning and improvement.
  • Roadmap Contribution: Collaborate with leadership to define and drive the decision science team’s roadmap, aligning projects with organizational goals.
  • Cross-functional Collaboration: Work closely with data engineers, software developers, product managers, and other stakeholders to ensure data solutions meet business needs.
  • Innovation: Stay updated on the latest data science trends and technologies, bringing innovative approaches to problem-solving within the team.

What you will be doing:

  • Solve business problems and discover meaningful business narratives told by the data by performing data exploration and mining and applying statistical techniques and machine learning algorithms.
  • Conduct research and collaborate with business stakeholders following design thinking principals to understand requirements and then design solutions that meet business objectives.
  • Extract and manipulate large data sets, leveraging tools including Python, PySpark and SQL
  • Demonstrate solution/algorithm feasibility by developing prototypes and communicating risk and limitations that may impact deliverables.
  • Write production-quality, optimized code using test-driven development practices and applying data-driven QA to guide the creation of clearly documented, clean quality software.
  • Perform team code review for production-ready software solutions, giving feedback to teammates, where appropriate, on opportunities for improvement of coding practices.
  • Identify areas where automation could increase team efficiency and independently design and implement useful automated solutions.
  • Provide mentorship and guidance to junior data scientists, modeling effective working relationships and solution-building that demonstrates team and Availity culture and values.
  • Support project timeline estimation and planning efforts.
  • Communicate actionable insights to internal stakeholders and clients.

Availity culture and benefits:

  • Availity is a certified “Great Place to Work”, a “Best Workplaces for Technology Companies”, a “Best Workplaces for Women” and a “Best Workplaces for Millennials”!
  • Culture is important to us and there are many ways for you to make your mark here!
  • We have several Diversity & Inclusion teams and various ways to engage with fellow Availity associates. “AvaiLadies”, “Beyond Black”, “HOLA”, “Availity Pride”, “VetAvaility” a Young Professionals Group and “She Can Code IT” a group for women in tech are some of the groups you can get involved in.
  • Availity is a culture of continuous learning. We have many resources and experts in our tech stack and in our industry that can help get you there too!
  • We offer a competitive salary, bonus structure, generous HSA company contribution, healthcare, vision, dental benefits and a 401k match program that you can take advantage of on day one!
  • We offer unlimited PTO for salaried associates + 9 paid holidays. Hourly associates start at 19 days of PTO and go up from there with all the same holiday benefits.
  • Interested in wellness? We allow our associates to reimburse up to $250/year for gym memberships, participation in racing events, weight management programs, etc.
  • Interested in furthering your education? We offer education reimbursement!
  • Availity offers Paid Parental Leave for both moms and dads, both birth parents and adoptive parents.
  • Want to work for an organization that gives back to the community? You’re at the right place! Availity partners with various organizations, both locally and nationally, to raise awareness, funds and morale as our staff members volunteer their time and funds to engage the organizations campaign.

Next steps:

After you apply, you will receive text/email messages thanking you for applying and then you will continue to receive more text/email messages alerting you as to where you are in the recruitment process.

Interview process:

  • Recruiter resume review 
  • Manager resume review 
  • Recruiter video interview
  • Codility assessment
  • Manager video interview
  • Technical panel video interview
  • Sr. leadership video interview

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

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Analytical Thinking
  • Mentorship
  • Problem Solving
  • Communication

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