Machine Learning Engineer Somatus McLean, VA Interested Not Interested

As the largest and leading value-based kidney care company, Somatus is empowering patients across the country living with chronic kidney disease to experience more days out of the hospital and healthier at home.

It takes a village of passionate and tenacious innovators to revolutionize an industry and support individuals living with a chronic disease to fulfill our purpose of creating More Lives, Better Lived. Does this sound like you?

Showing Up Somatus Strong

We Foster An Inclusive Work Environment That Promotes Collaboration And Innovation At Every Level. Our Values Bring Our Mission To Life And Serve As The DNA For Every Decision We Make

• Authenticity: We believe in real dialogue. In any interaction, with patients, partners, vendors, or our teammates, we are true to who we are, say what we mean, and mean what we say.
• Collaboration: We appreciate what every person at Somatus brings to the table and believe that together we can do and achieve more.
• Empowerment: We make sure every voice gets heard and all ideas are considered, especially when it comes to our patients' lives or our partners' best interests.
• Innovation: We relentlessly look for ways to improve upon the status quo to continuously deliver new solutions.
• Tenacity: We see challenges as opportunities for growth and improvement — especially when new solutions will make a difference for our patients and partners.
  
  

Showing Up for You

We Offer More Than 25 Health, Growth, And Wealth Work Perks To Help Teammates Learn, Grow, And Be The Best Version Of Themselves, Including

• Subsidized, personal healthcare coverage (medical, dental vision)
• Flexible PTO
• Professional Development, CEU, and Tuition Reimbursement
• Curated Wellness Benefits supporting teammates' physical and mental well-being
• Community engagement opportunities
• And more!
  
  

Somatus is on a mission to be the world's best provider of integrated care for patients with or at risk of developing kidney disease. A core component of our mission is the effective and impactful use of data to support patient care. As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems. Our culture is data-driven, collaborative, results-focused, and fast-moving.

If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!

Responsibilities

• Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations teams to deliver machine learning solutions that make an impact.
• Assist with end-to-end lifecycle for machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance.
• Build pipelines for generating features, training and evaluating models, and deploying models into production.
• Perform exploratory data analysis and use unsupervised learning techniques to test hypotheses and uncover meaningful insights.
• Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed.
• Stay current with trends and developments in the machine learning, data science, and healthcare technology communities.
  
  

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Required Education And Experience

• Bachelor's or Master's Degree with 1 or more years of experience in a machine learning-related role, or PhD
• At least 1 year of experience with Python
• Some experience with relational databases and SQL
• General understanding of software engineering best practices and software development lifecycle
• Familiarity with Git and issue tracking tools such as JIRA
• Familiarity with Linux and CLI
  
  

Preferred Qualifications

• Experience in healthcare industry and working with healthcare data
• Experience with cloud infrastructure (Azure, AWS, or GCP)
• Experience with Docker
• Experience in building APIs
• Experience with Natural Language Processing
  
  

Skills

Hospitals And Health Care Engineering And Information Technology

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