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The KP Digital experience is a people experience. The products and solutions we create impact Kaiser Permanente’s more than 12 million members and their families, all working toward total health. Our goal is simple — center on the everyday moments that matter for our members, care teams, brokers, and employees, and make them better with innovative digital products. KP Digital team members are agile and with sharp attention to detail, who apply creative, out-of-the-box thinking and active listening skills in collaboration with teammates and stakeholders like physicians, hospital leaders, health plan market leaders, and more. Join us for the opportunity to define what good looks like in digital health and make an impact along the way.

Success Profile

These are the traits of the most successful members of our digital team.

  • Adaptable
  • Collaborative
  • Open-minded
  • Positive
  • Problem-solver
  • Results-driven

More About Kaiser Permanente

Senior Data Scientist, AI/ML Insights

Primary Location Pleasanton, California Job Number 1056626 Date posted 08/05/2022
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We are shaping the future of healthcare. With our product and experience-first mindset, coupled with the right digital tools and platforms, we’re building a practice that is laser-focused on creating the best possible digital journey for our members, our care team, and visitors interested in our health services. 

At Kaiser Permanente Digital (KPD), you will be joining a host of data scientists, engineers, and product managers to solve some of the most fascinating and impactful problems in machine learning, causal inference, NLP, and graph theory. The algorithms you develop will champion members need to express their intent and our goal to understand their preferences, across devices (browser or app) and modalities (search, text, voice etc.).

You will leverage search, chat, click stream data and stich it to transactional data (e.g., pharmacy orders, scheduling virtual appointments, medical adherence) to develop AI/ML models that engage and converse with our members. These models will understand their goals and expectations to enable them to make the right healthcare decision. If you speak and think machine learning, then we want to talk to you. Come join our team and be part of this exciting journey.

Examples of products include but not limited to: AI/Machine Learning models (e.g., recommendation engines, search, and/or personalization algorithms), user digital experiences such as health and wellness programs (e.g., living healthy, conditions and diseases), virtual doctor/nurse visits, managing chronic healthcare conditions via apps.

What You’ll Do

  • You will function as the ML/AI lead of the team, set the best practices for delivering complete ML solutions, influence analytics roadmaps, and interface with cross functional teams to understand/define their use cases.

  • Design, develop, and enhance predictive and behavioral models to identify moments or subgroups of interest, classify users or content, predict future behavior, drive personalization, and derive meaningful insights to guide to better product and decision making for our business leaders.

  • Participate regularly in high-level, cross-group, collaborative problem solving to improve the quality of the models you develop, extend the ways the company can use data to drive experiences that delight our users, and cement the status of the team as thought leaders.

  • Write, share, and present documents summarizing your findings and recommendations to all levels of the organization.

  • Participate in literature reviews and translate scientific practices to a wide range of data science domains across causal inference, experimentation, recommendation engines, and natural language processing.

Minimum Qualifications:

  • Bachelor's degree in Business Administration, Computer Science, CIS or related field and Minimum two (2) years experience in Data Science, IT consulting, business analysis, or a related field. Additional equivalent work experience may be substituted for the degree requirement.

Preferred Qualifications:

  • Graduate degree preferred in subjects such as: computer science, statistics, math, economics, or similar field.

  • Knowledge of most of the following quantitative fields: NLP, information retrieval, question answering / conversational AI, reinforcement learning, knowledge graph, graph theory, and design of experiment.

  • Product sense, understanding both how a product works and how that would impact user behavior.

  • Experience with new technologies in a production environment with product, IT, and data engineering teams.

  • Strong coding skills (e.g., Python, R, SQL), and familiarity with software engineering principles around testing, code reviews and deployment.

  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions.

Primary Location: California,Pleasanton,Pleasanton Tech Cntr Building A Scheduled Weekly Hours: 40 Shift: Day Workdays: Mon, Tue, Wed, Thu, Fri Working Hours Start: 08:00 AM Working Hours End: 04:00 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Employee Group/Union Affiliation: NUE-IT-01|NUE|Non Union Employee Job Level: Individual Contributor Specialty: IT Consulting Department: KPIT ADMIN - KPD CAS CNOE - 9601 Travel: No Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status.


Our compensation and benefits are designed to help you and your family stay healthy and thrive in and beyond work.

  • Medical, Vision, & Dental

  • Retirement Plans

  • Education & Tuition

  • Career Growth & Development

  • Vacation, Holiday, & Sick Leave

Our Culture

As a new organization, KP Digital will reinvent how we approach digital challenges — from the products we create to the way we work to the talent we hire. As part of this new team, you must be as knowledgeable as you are curious, willing to try new things, even if it means failing fast. We foster a culture of learning but leave your path up to you. In every opportunity we see growth, and in this growth you could see limitless opportunities.

What Our People Say

Faizan J

Data Science & Analytics

Every day, I leverage technology to power digital transformation in health care and deliver meaningful and impactful experiences for our members. More importantly, I enjoy working with team members and leaders who are vested in your success at KP Digital!

Hyun K

Experience Designer

I work with a highly collaborative and inclusive team of designers, researchers, product owners, and engineers. We’re committed to a design centric decision-making process and providing the best digital experiences we can.

Chethana N

Consumer Experience Engineering

KP Digital employees are assured of career growth through a wide spectrum of ongoing training opportunities that include essential soft skills as well as upcoming new technologies.

Shyam M

Consumer Experience Engineering

Working for KP Digital helped me realize my dream of impacting the community by applying a digital first mindset to the solutions we create. I am very fortunate to work with a high performing and passionate team committed to making things happen!

Digital Leadership

Companies need to work to adapt to crises instead of fighting against them, and they must use their digital strategy to innovate.

Our Events

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