Data Scientist II (Remote)

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.

Reporting to the Manager of Data Science Development, the Data Scientist II is an individual contributor role in the Data Science & AI Department on the Data Science Development team.  This strong critical thinker and problem solver is expected to be capable of working autonomously on tasks and components of projects and professionally mentor other teammates, as applicable, but does not have direct oversight over other associates or projects. They will work under the guidance of other senior data scientists and collaborate cross-functionally to extract and analyze data and contribute to business problem solutions using data science analysis, coding, technical tools, and automation techniques.

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

Location: Remote, US

Role qualifications:

• Bachelor’s degree in (CS, Math, Data Science, Engineering, or other quantitative field) + 2 yrs work experience, or computational MS degree with some hands-on project/solutioning experience, or overall equivalent length of requisite work experience in lieu of a degree.
• Demonstrated proficiency in Python and SQL programming.
• Familiarity with data visualization tools such as Python visualization libraries, Qlik, Tableau, Power BI, etc.
• Solid understanding of statistical analysis, predictive modeling, and machine-learning techniques/approaches and algorithms.
• Ability to explore and manipulate large, complex data sets and extract value from them using ETL and ad-hoc scripting skills.
• A creative mind with proven critical-thinking and problem-solving skills that reliably demonstrates attention to details and accuracy in execution.
• Ability to quickly learn and skill-up with unfamiliar data and/or products.
• Ability to thrive in both collaborative and independent work environments.
• Autonomous worker, able to break down small user stories into tasks and drive work to completion.
• Communication skills to summarize, interpret, and present data-derived insights to peers.

Nice to have:

• Experience working with large scale healthcare claims and/or clinical data.
• Familiar with healthcare data standards.
• Proven experience creating and communicating insights from data visualizations using tools such as Python, Tableau, Qlik, etc.
• Experience developing and maintaining code following git source-control, linting, and peer review processes.
• Experience with (preferably) AWS or another public Cloud Platform services and tools.
• Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA.

What you will be doing:

• Extract and manipulate large data sets, leveraging tools including Python, PySPark, and SQL.
• Perform data mining and exploratory data analysis to identify patterns, trends, and anomalies in large healthcare data sets using tools such as Python, PySPark, and SQL.
• Conduct research and collaborate with other team members to understand requirements and then build analytical and data-driven solutions that support project objectives.
• Develop and apply statistical, logical, and/or machine-learning-based data science algorithms to support project efforts, using the appropriate methodology for the task.
• Identify and engineer relevant features from raw data to improve model or algorithm performance, accuracy, or predictive power.
• Collaborate with data engineers and subject-matter experts to ensure the availability and quality of data required for analysis and modeling.
• Write code and unit tests in both exploratory and production coding environments and contribute to team code review for production-worthy software solutions and/or Cloud IaC solution components.
• Contribute to ML- and Product Ops activities by implementing and maintaining feedback, monitoring, and other solution maintenance metrics.
• Support reporting and results communication by utilizing visualization tools to present data in a compelling and intuitive manner.
• Identify areas where automation could increase team efficiency and independently design and implement useful automated solutions.
• Work closely with teammates to understand business problems and to develop data-driven solutions by translating business requirements into technical concepts.
• Document methodologies, assumptions, and results of analyses and other work efforts to ensure reproducibility and maintain a robust knowledge base.
• Prepare reports and present findings and recommendations to the team.
• Practice fastidiousness and self-awareness toward task completion and time management work effort to meet project deadlines.
• Other tasks as assigned to meet team commitments.
• Provide mentorship and guidance to junior associates, modeling effective working relationships and solution-building that demonstrates team and Availity culture and values.
• Other tasks as assigned to meet team commitments.

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
• Manager video interview
• Technical assessment
• Technical 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.

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