Data Scientist IV

Organization:

SHSO-Sutter Health System Office-Valley

Position Overview:

This is a hybrid position and is required to work onsite in Sacramento Tuesday and Wednesday.

Provides support in making strategic data-related decisions by analyzing, manipulating, tracking, internally managing and reporting data from diverse internal and external sources. Requires collaboration with cross-functional teams to perform exploration and experimentation, designing and building prototypes and best practices for our applications. Brings insight and change to how we approach customers, patients, business leaders and partners to solve the most complex problems with analytics. Provides a wide-range of analytical results and have the ability to communicate these informed conclusions and recommendations across an organization's leadership structure.

• Develop and implement Data Science / AI solutions.
• Set enterprise-wide standards and processes for DS / Applied AI.
• Create and maintain end-to-end applied data science / artificial intelligence (including GenAI) solution architectures, tools, and infrastructure, to improve healthcare delivery and patient care outcomes.
• Use advanced mathematical, linguistic, geographic information systems and machine learning techniques to create and test DS models.
• Fine tune, validate, test, and apply foundational GenAI models.
• Developing distribution and integration mechanisms for model insights and outputs (APIs, reports, and dashboards) for stakeholders and downstream software applications.
• Mentor and develop other data scientists across the organization.

Job Description:

EDUCATION:
Equivalent experience will be accepted in lieu of the required degree or diploma.

Master's: Computer Science, Statistics, Medical Informatics, Mathematics, or related field


TYPICAL EXPERIENCE:

8 years recent relevant experience.

SKILLS AND KNOWLEDGE:

Experience designing, implementing, and testing automated data analysis systems.

Proven ability to rationalize disparate data sources and the ability to intuit the insight from within a dataset.

Understanding and implementation of predictive / analytical / statistical modeling techniques, theories, principles, and practices.

Familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation/selection, etc.
able to interact with technical experts and leaders at all levels within the organization.

Self-starter, able to independently identify and complete critical tasks with minimal supervision, complex data, and dynamic goals.

Verbal and written communication skills are an absolute requirement.

Demonstrated ability to multitask and deliver on multiple projects concurrently.

Experience working in a team-oriented, collaborative environment.

Ability to mentor other data scientists working on common projects.

Knowledge of healthcare clinical care and business processes.

Job Shift:

Days

Schedule:

Full Time

Shift Hours:

8

Days of the Week:

Monday - Friday

Weekend Requirements:

As Needed

Benefits:

Yes

Unions:

No

This position is work from home eligible.

Position Status:

Exempt

Weekly Hours:

40

Employee Status:

Regular

Number of Openings:

1

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $62.95 to $94.43 / hour

The salary range for this role may vary above or below the posted range as determined by location. This range has not been adjusted for any specific geographic differential applicable by area where the position may be filled. Compensation takes into account several factors including but not limited to a candidate’s experience, education, skills, licensure and certifications, department equity, training and organizational needs. Base pay is just one piece of the total rewards program offered by Sutter Health. Eligible roles also qualify for a comprehensive benefits package.

Qualified applicants with arrest and conviction records will be considered for employment. Applicants for specific positions are still required to disclose certain convictions during the application process, and those convictions may also be considered in determining eligibility for employment in accordance with applicable law.

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