Principal Data Scientist - Remote or Hybrid in MN and DC

UnitedHealth Group•San Diego, CA

16h•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Information is the lifeblood of the healthcare industry—everything depends on it. At Optum Insight Technology & Engineering, you’ll help us work on streamlining the flow of information between payers, healthcare providers and various other stakeholders to deliver the right insights to the right places at the right times, driving better outcomes for patients, reducing friction in the health system and lowering costs. Every day our work directly impacts the world for the better, in meaningful and profound ways. We live in a time of unprecedented technical capability and possibility. Health care is at a pivotal point in this journey where even small gains can lead to major transformation. You could be a part of that – you have tremendous skill and the potential to make a lasting impact. Optum Insight Technology is uniquely positioned to bring your skills to bear on these pressing and life-changing technical challenges. The health care industry has an immediate need for your drive, innovation, passion and technical insight. Help us help the millions of people we serve each day. The Principal Data Scientist is a key technical contributor in the design and development of state-of-the-art ML for medical applications. The Data Scientist works closely with ML engineers, research linguists, software engineers and subject matter experts on current company technologies and forward-looking projects. Data Scientist initiate and lead new research initiatives into unexplored modeling approaches, mentoring and guiding teams to adopt new technologies.

Requirements

Undergraduate degree in Computer Science or related field
7+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm implementation
5+ years of coding experience with Python or R
2+ years of experience leading development in a data science focused team using deep learning architectures
1+ years of experience in machine learning model development, transformer architectures, data trend analysis
1+ years of production experience with cloud and big data technologies
1+ years of agile development experience

Nice To Haves

Masters degree in related field
Experience digesting and implementing research from primary literature or white paper resources
Experience with SQL databases and query language
Experience in AzureML, AWS, or cluster computing architectures
Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches
IT full-stack engineering experience
Healthcare domain background
Publication history in deep learning or statistical domain

Responsibilities

Initiate and drive novel method development in machine learning from first principles to deployed solutions
Provide innovative modifications and extensions to existing deep learning and statistical learning architectures
Perform independent statistical inquiry into new areas and identify growth points and areas of untapped information
Partner with Engineering, Business and Technical Product to make and meet project commitments in an agile framework; rapidly delivering value to our customers via technology solutions
Mentor junior data scientists to successfully deliver software and business value
Responsible for continuous improvement for alerts, monitors and telemetry
Communicate with stakeholders, subject matter experts, and colleagues to identify new means of approaching problems in the medical coding field
Design novel methods in machine learning and launch them to production with the help of data engineers and deployment software engineers
Perform independent analysis of trends in medical coding and production performance of statistical models
Demonstrate leadership in the context of machine learning engineering and direct the research direction of a multidisciplinary team focused on deep learning and LLM approaches
Stay abreast of leading-edge technologies in machine learning and deep learning, participate and lead in research talks and white paper reviews
Participate in research meant to ensure alignment of models to ethical standards to ensure machine learning models perform without harm to users