Sr Data Scientist

Posting Date

08/06/20262000 16th St, Denver, Colorado, 80202-5117, United States of America

Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist to join our data science team. The ideal candidate will have a robust background in machine learning and generative AI, proficiency in Python, and experience with the Google Cloud Platform (GCP) software stack. This role involves leading complex data science projects focused on healthcare applications, developing innovative AI solutions, and mentoring junior team members. If you are passionate about leveraging data to drive healthcare innovations and possess advanced technical skills, we would love to hear from you.

Responsibilities:

• Lead and manage healthcare-focused data science projects from conceptualization to deployment.

• Develop and implement advanced machine learning, natural language processing, and generative AI models to solve healthcare problems.

• Develop and implement advanced generative AI models (e.g., GANs, VAEs, transformers) to solve complex problems.

• Use Python to build, test, and deploy data science solutions.

• Utilize the GCP software stack (Vertex AI, BigQuery, AI Platform, Dataflow, etc.) to manage and analyze large healthcare datasets.

• Collaborate with cross-functional teams, including clinical experts, to integrate data-driven insights into healthcare processes.

• Mentor and provide guidance to junior data scientists.

• Stay current with the latest advancements in data science, machine learning, generative AI, and healthcare analytics.

• Present findings and recommendations to stakeholders, including healthcare professionals and senior leadership.

• Ensure best practices in data science and AI are followed across the team.

Requirements:

• Master’s degree or PhD in Computer Science, Statistics, Mathematics, or a related field.

• 4-8 years of experience in data science or a related field, with a focus on healthcare applications.

• Experience within a healthcare setting (hospital, ambulatory or ancillary services), preferred.

• Expertise in machine learning, deep learning, and generative AI.

• Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Extensive experience with the Google Cloud Platform (Vertex AI, BigQuery, AI Platform, Dataflow, etc.).

• Strong understanding of healthcare data sources, healthcare informatics, and clinical data standards.

• Excellent problem-solving skills and the ability to work on complex, multidisciplinary projects.

• Strong communication and leadership skills.

• Proven track record of leading successful data science projects in the healthcare industry.

• Ability to collaborate effectively with cross-functional teams, including clinicians and healthcare professionals.

Preferred Qualifications:

• Experience with electronic health records (EHR) data and healthcare interoperability standards (e.g., HL7, FHIR).

• Experience with containerization tools and technologies, particularly Docker.

• Experience with cloud platforms (AWS, Azure).

• Familiarity with other programming languages (e.g., R, SQL).

What We’ll Provide:

More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings.

• Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out

• Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more

• Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.

#LI-SM5

At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.

This position will be open for a minimum of three days.

The Salary Range for the role is $115,000.00 - $183,000.00 per year. If a candidate is hired, they will be paid at least the minimum wage according to their geographical jurisdiction and the exemption status for the position.New York Exempt: New York City and Long Island: $66,300.00/year, Nassau, Suffolk, and Westchester counties: $66,300.00/year, Remainder of New York state: $62,353.20/year New York Non-exempt: New York City and Long Island: $17.00/hour, Nassau, Suffolk, and Westchester counties: $17.00/hour, Remainder of New York state: $16.00/hourWashington Exempt: $80,168.40/year Washington Non-exempt: Bellingham: $19.13/hour, Burien: $21.71/hour, Everette: $20.77/hour, Unincorporated King County: $20.82/hour, Renton: $21.57/hour, Seattle: $21.30/hour, Tukwila: $21.65/hour, Remainder of Washington state: $17.13/hour

Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at

Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.