About the Role
Title: Senior Data Scientist (USA/Remote)
Location: United States
Full time
Job Description:
The Company:
ICF is a mission-driven company filled with people who care deeply about improving the lives of others and making the world a better place. Our core values include Embracing Difference; we seek candidates who are passionate about building a culture that encourages, embraces, and hires dimensions of difference.
The Team
Our Health Engineering Solutions (HES) team works side by side with customers to articulate a vision for success, and then make it happen. We know success doesn’t happen by accident. It takes the right team of people, working together on the right solutions for the customer. We are looking for a Data Scientist who will be a key driver to make this happen.
This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses, and also prohibits personal VPN connections.
Key responsibilities include:
- Document and communicate requirements for data engineers
- Work with data engineers to ensure that Spark/Scala pipelines are implemented properly
- Understand GLMs/mixed-effects models and their inner workings across programming languages
- Assess accuracy of measure implementations
- Analyze large amounts of data to find inconsistencies using Zeppelin notebooks (Scala/Python)
- Communicate with external partners around requirements
The work effects the quality and cost of care for Medicare and Medicaid patients through the Quality Payment Program. You will be involved in a highly successful team that has a long track record of meeting deadlines and delivering quality.
Job Duties:
- Working consistently scripting and analyzing data.
- Consistent JIRA and Confluence use.
- Must attend Scrum Ceremonies and Test Meetings.
- The position is remote however we work East Coast hours and meetings may start as early as 9:00 AM Eastern Time. Core hours also apply.
- Some travel may be required for in-person Program Increment Planning events.
Required Qualifications
- Bachelor’s degree (preferred in Computer Science, IT or a related field).
- 5 years’ experience in software or data development.
- 3 or more years use of on-the-job level of coding skills in Python/R, or other similar languages.
- 3 or more years working in a data scientist/analyst role.
- 2 or more years of experience with any SQL dialect.
- Candidate must be able to obtain and maintain a Public Trust.
- Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
- Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years.
Professional Skills:
- Strong problem-solving skills, able to work independently.
- Ability and desire to take ownership of and initiative for analyses, from requirements clarification to deliverables.
- Strong technical communication skills; both written and verbal.
- Ability to understand and articulate the “big picture” and simplify complex ideas.
- Ability to identify and learn new techniques independently as needed.
Preferred Qualifications
- 3 years’ experience with Master’s degree.
- Prior experience working with Medicare and/or Medicaid data, especially claims data and familiarity with claims codes (HCPCS/CPT/ICD-10-CM/ICD-10-PCS).
- Prior experience with Spark/PySpark/SparkR for analyzing large amounts of data.
- Advanced SQL querying skills and database management knowledge.
- Git/Github experience.
- Have worked in an agile environment.
- Have used Confluence and Jira.
- Experience working on a project using the Scaled Agile Framework.
- Experience on a software development team building modern software products.
- Flexible and willing to accept a change in priorities as necessary.