Associate Director, Data Science

4 days ago


Honolulu, Hawaii, United States Evolent Health Full time
About Evolent Health

Evolent Health is a healthcare company that partners with health plans and providers to achieve better outcomes for people with complex and costly health conditions.

We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work.

Job Summary

We're seeking an Associate Director, Data Science to join our team. As a key member of our data science team, you will be responsible for implementing and fine-tuning cutting-edge machine learning models using healthcare data to solve complex problems, drive innovation, and increase productivity across our organization.

Key Responsibilities
  1. Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, as well as maintenance and monitoring.
  2. Utilize Azure Cloud Resources to engineer and deploy Data Science's models to ensure quality, reliability, and scalability.
  3. Construct advanced SQL queries to scrutinize healthcare data, track key product usage metrics, build feature sets, generate reports, and perform complex analytics tasks to improve our product and investigate business problems to identify novel solutions.
  4. Influence and contribute to Evolent's core products by architecting key components for automating and simplifying the AI-creation process of turning raw data into smart decisions.
  5. Collaborate with a team of data scientists, clinicians, and engineers to drive the development and maturation of our AI solutions.
  6. Establish processes for rapid impact, feedback, and iteration of solutions with Evolent's internal clinical staff and customers.
  7. Work closely with our product and innovation teams, as well as business stakeholders spread across various locations in the US and India.
  8. Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  9. Conduct research to stay current with the latest advancements in AI and machine learning techniques to identify opportunities to leverage them in our products and services.
  10. Develop clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
  11. Contribute to the establishment of best practices and standards for ML development within the organization.
  12. Provide technical mentorship and guidance to junior team members.
Requirements
  • Bachelor's degree in data science, computer science, or a related field.
  • 2 or more years of experience developing in a Cloud Environment (AWS, GCS, Azure, etc). Azure is highly preferred.
  • 2 or more years of professional experience developing and deploying machine-learning (ML) systems.
  • 2 or more years of experience with GitHub Actions and CI/CD.
  • 2 or more years advanced experience in SQL, including experience writing new and efficient SQL code and complex analytical queries.
  • Proficiency in Python and experience with machine learning libraries and frameworks such as Scikit-Learn, XGBoost, TensorFlow, PyTorch, or Keras.
  • Strong knowledge of data structures, algorithms, and software engineering principles.
  • Knowledge of software development methodologies, such as Agile or Scrum, and version control.
  • High ability to think critically and creatively to develop innovative AI solutions with a passion for solving problems within healthcare that have tangible impacts on patient lives.
  • Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
  • Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
  • Medical concept knowledge with codes from standard ontologies (SNOMED CT, LOINC, RxNorm, ICD-10, etc.) is preferred.
  • Experience using Kubernetes and Docker is preferred.
  • Experience building REST APIs for AI work and knowledge of microservices architecture is preferred.
  • Participation in open-source community projects is preferred.
  • Experience developing in Azure ML Studio is preferred.
Benefits

Evolent Health offers a comprehensive benefits package, including health insurance benefits, to qualifying employees.

All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

The expected base salary/wage range for this position is $81,000 - $120,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors.



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