Data Scientist
The Data Scientist role at Confidential Client involves developing and enhancing deep learning models focused on medical document analysis, working remotely on impactful healthcare projects. The position requires expertise in Python and deep learning frameworks, with responsibilities including model training, evaluation, and experimentation within an AWS environment, collaborating closely with technical leads to achieve project goals.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Staffing and Recruiting.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
What You’ll Do
Join a remote-first team focused on medical document analysis and healthcare NLP. You will:
- Develop, train, evaluate, and troubleshoot deep learning models for medical/clinical text and document analysis (NLP).
- Build and iterate on models using PyTorch and Transformer-based architectures.
- Run experiments and manage model training in AWS (EC2/SageMaker or equivalent) and ensure reproducible results.
- Perform exploratory data analysis, statistical validation, and error analysis on large text datasets.
- Implement and maintain data pipelines and ETL for large-scale textual data (PySpark or similar).
- Collaborate with the technical lead and cross-functional stakeholders to align objectives, document experiments, and deliver model outputs.
- Use Git/GitHub for version control and follow established MLOps and experiment-tracking practices.
What We’re Looking For
Minimum qualifications and skills (required):
- Proven experience in Python for machine learning and deep learning workflows.
- Hands-on experience with PyTorch and Transformer libraries (Hugging Face Transformers or similar).
- Strong understanding of statistics, model evaluation metrics, and exploratory data analysis for textual data.
- Experience training and debugging deep learning models for text (classification, information extraction, sequence labeling, etc.).
- Familiarity with AWS for compute and storage, and comfort running experiments in a cloud environment.
- Experience using Git/GitHub for version control and collaboration.
- Bachelor’s degree (or equivalent) in Computer Science, Data Science, Engineering, Statistics, or related field.
Preferred Qualifications
- Experience working with large language models (LLMs) and prompt-based methods.
- Experience with PySpark, Spark NLP, or large-scale ETL processing for textual data.
- Familiarity with MLOps tools (experiment tracking, model registry, CI/CD for ML).
- Background in healthcare, medical text analysis, or experience with PHI-aware workflows (knowledge of privacy considerations is a plus).
- Prior experience on contract/consulting engagements or in a fast-paced start-up or staffing environment.
Compensation & Employment Type
- Employment type: Contractor (hourly).
- Pay range: $37 - $71 per hour, based on experience and qualifications.
- This posting includes the pay range to comply with applicable U.S. compensation transparency requirements.
Location & Work Authorization
- Primary location: New Ulm, MN (Telecommute / Remote-eligible).
- Applicants must be authorized to work in the United States. Offers are contingent on verification of employment eligibility and any required pre-employment checks in accordance with applicable state and federal law.
How to Apply
- Apply via CareerTakes. Applicants may also be provided access to additional matched opportunities on the CareerTakes platform.
- By applying, you acknowledge that the confidential client or CareerTakes may contact you regarding your application using automated technology (phone, SMS/text, or email). Automated tools do not replace human decision-making; final hiring decisions are made by people.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.