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Senior Data Scientist

Davita Inc.

United States

Remote

USD 136,000 - 192,000

Full time

6 days ago
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Job summary

Join a leading healthcare organization committed to patient-focused care as a Senior Data Scientist. You'll enhance Natural Language Processing research and bring innovative features to production, while collaborating with dynamic teams. Enjoy a competitive salary, remote work, and a range of world-class benefits.

Benefits

Medical, dental, vision, life, and disability insurance
401K retirement plan; flexible spending and health savings account
15 days of paid time off + additional front-loaded personal days
14 company-recognized holidays + paid volunteer days
Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
LGBTQ+ Health Services
Pet insurance

Qualifications

  • 4 years of experience in Data Science or Machine Learning Engineering.
  • Expert level in Python programming with reliable code writing skills.
  • Experience with LLM's for zero or few-shot tasks and implementing NLP solutions.

Responsibilities

  • Advancing Natural Language Processing research and development.
  • Executing experiments and building necessary tooling for projects.
  • Creating and testing novel LLM based systems.

Skills

Python
Data Science
Machine Learning
Natural Language Processing
Deep Learning
Visualization
Experimentation
Cloud-based ML tools

Job description

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

As Senior Data Scientist you will advance our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will design and execute experiments and build necessary tooling.



You will:



  • Follow and contribute to best practices for our research activities including data collection/annotation, literature research, experimentation, and evaluation

  • Create and test novel LLM based systems

  • Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques


What We're Looking For:



  • 4 years of experience in Data Science or Machine Learning Engineering

  • Expert level Python: able to write reliable, extensible code

  • Basic knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks

  • Experience using pre-trained LLM's for zero or few-shot learning tasks

  • Scientific mindset and ability to run experiments to guide model selection and hyperparameter search

  • Good written communication skills

  • Experience putting LLM based services into production

  • Experience working with clinical data

  • Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)

  • Experience generating visualizations for evaluation of complex systems


Our Tech Stack:



  • Primarily Python jobs and applications

  • OpenAI and other Foundation model APIs

  • Pytorch on AzureML for our own training

  • Kubernetes via AKS or EKS for serving compute (with support from infra team)

  • Databricks for data lake

  • Flyte for orchestration

  • Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)

  • Experience generating visualizations for evaluation of complex systems


Pay Range: $136,950 - $191,730


Other compensation: Bonus Eligible


Perks & Benefits:


Remote US work


Medical, dental, vision, life, and disability insurance


401K retirement plan; flexible spending and health savings account


15 days of paid time off + additional front-loaded personal days


14 company-recognized holidays+ paid volunteer days


up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave


LGBTQ+ Health Services


Pet insurance


Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/


We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.


MCG Health is a Seattle, Washington-based company. This position can be done from a remote location and will require some in-person travel.

All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.


It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.


MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal ofproviding the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

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