Data Scientist Data Scientist

Data Scientist

Region: US

Country: USA

Type: Fully remote

What's the Project?

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.

We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.

Opportunity for impact

Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation. 

The Data Scientist will primarily be responsible for owning the development and deployment of machine learning models to support operational and clinical use cases. This work will occur under the support of more senior data scientists. These models will be developed using open-source tools and libraries and may be operationalized as batch or real-time model inference endpoints. The models will use a variety of data sources, including healthcare claims, operational data from care management platforms, and EHRs. 
You’re a perfect match if you have:
  • 4+ years previous experience performing quantitative analyses of healthcare claims
  • 2+ years experience using Python for machine learning model development and deployment
  • 2+ years experience using SQL, Databricks & Pyspark to extract and manipulate data for data engineering tasks
  • 2+ years experience presenting to business and executive stakeholders
  • 2+ years of experience developing code and analyses following good software development practices  
  • Version control (GIT) 
  • CI/CD principles 
  • Test-driven development 
  • Experience with Azure or other cloud computing providers preferred





Your day-to-day activities:
  • Under guidance of more senior data scientists, own the development and deployment of machine learning models to support operational and clinical use cases.
  • Perform ad-hoc data analyses related to outputs or alternative use-cases for existing models (e.g. summarize outputs for reporting purposes)
  • Work with program owners to understand the goals, key performance measures, and operational details of programs and processes to ensure models are aligned with program intent
  • Create and present proposals for machine learning solutions to program owners with the aim of ensuring buy—in to proposed solution
Please note that employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.


The Offer
Newfire Global is committed to consistent compensation practices across our organization. The compensation for this role is market-driven, with a salary of $10,000 to $13,000 monthly. This pay is ultimately determined based on a candidate's skills, expertise, and experience. 
 
Employment offers from Newfire Global are contingent upon successful completion of background screening, conducted in compliance with applicable laws and only with your express consent.

Newfire Global is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Ready to dive in?

Contact us today or apply below.

Alejandro Rodriguez
Recruiter

Hiring Process

Here's what you can expect during our hiring process.

Stage 1

Applied

Stage 2

Shortlist

Stage 3

Interview

Stage 4

Review

Stage 5

Technical Interview

Stage 6

CSM Interview

Stage 7

Client Interview

Stage 8

Verbal offer

Stage 9

Offer Letter

Stage 10

Background Check

Stage 11

Hired

1 of X
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