Data Scientist I

Banner Health

$73K — $122K *
US-AnywhereRemote in Arizona, US
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Statistics, Mathematics, Computer Sciences, Health Services Research, Process Engineering, Business or a related field.
  • 3-4 years of hands-on experience in inferential statistics, A/B testing, and predictive modeling.
  • Experience working with cross-functional teams.
  • Strong project management skills and ability to manage multiple projects independently.
  • Technical proficiency in SQL, SAS, Tableau, and similar tools.

Responsibilities

  • Provide data and analytic support across various subject matter areas.
  • Conduct comprehensive analyses to produce data-driven solutions.
  • Collaborate with stakeholders and functional teams to enhance business outcomes.
  • Troubleshoot complex data issues and escalate as necessary.
  • Respond to non-standard requests and investigate solutions with team assistance.

Benefits

  • Comprehensive health benefit options.
  • Financial security plans for employees and their families.
  • Focus on personal well-being and life balance.
Full Job Description
Department Name:
Medicare Stars Strategy

Work Shift:
Day

Job Category:
Information Technology

As a Data Scientist I you will be responsible for providing data and analytic support for the business. This includes working with large databases and applying quantitative methodologies using advanced analytical tools. You will perform substantive, comprehensive, and quantitative analyses to produce data-driven solutions and recommendations to position the company competitively relative to outcomes, operations and profitability. This position will work with a wide range of stakeholders and functional teams to improve business outcomes.

The Registered Data Scientist I position is a fully remote position with a work schedule of Monday - Friday 8am - 5pm. Candidates must live in the state of AZ to be considered.

Your pay and benefits (Total Rewards) are important components of your Journey at Banner Health. Banner Health offers a variety of benefit plans to help you and your family. We provide health and financial security options, so you can focus on being the best at what you do and enjoying your life.

Banner Plans & Networks (BPN) is an accountable care organization that joins Arizona's largest health care provider, Banner Health, and an extensive network of primary care and specialty physicians to provide the most comprehensive healthcare solutions for Maricopa County and parts of Pinal County. Through BPN, known nationally as an innovative leader in new health care models, insurance plans and physicians are coming together to work collaboratively to keep members in optimal health, while reducing costs.

POSITION SUMMARY
This position is responsible for providing data and analytic support for a specific subject matter area. This includes working with large databases and applying quantitative methodologies using advance analytical tools. This position performs substantive, comprehensive, and quantitative analyses to produce data-driven solutions to position the company competitively relative to outcomes, operations and profitability. This position may also be expected to troubleshoot data issues at a complex level and appropriately escalate issues to other resources, as needed. This position will work with a wide range of stakeholders and functional teams to improve business outcomes.

CORE FUNCTIONS
1. Performs standard assignments within own job functions. Expanding knowledge of fundamental theories, practices, procedures, and concepts within the job's function.

2. Identifies and solves a range of problems in straightforward situations; analyzes possible solutions and assesses each using established procedures. Analyzes developments in the field for others.

3. Responds to non-standard requests from internal and/or external customers; investigates with assistance from others, as needed. Interacts primarily with department peers, supervisor, internal customers, patients and physicians.

4. Makes decisions within guidelines and policies that impact own priorities and allocation of time to meet deadlines.

MINIMUM QUALIFICATIONS

Knowledge typically obtained with a Master's degree in the field of Statistics, Mathematics, Computer Sciences, Health Services Research, Process Engineering, Business or related field.

A minimum of three to four years of hands-on experience or equivalent with inferential statistics, A/B testing, machine learning, predictive modeling and statistical analysis techniques in a healthcare or similar environment. Must have experience in working with cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. Must have project management skills and ability to work independently, manage large and multiple projects. Very good communication, interpersonal and critical thinking skills are required. Must have strong technical skills (SQL, SAS, Tableau, etc.).

PREFERRED QUALIFICATIONS

Knowledge of subject matters such as process optimization, clinical workflows, population health, public health, disease prediction, readmissions, imaging analytics and in/out-patient monitory and alerting is preferred. Masters or PhD in Math, Statistics, or related technical field is preferred. Additional related education and/or experience preferred.

Additional related education and/or experience preferred.

Estimated Pay Range:
$35.37 - $58.95 / hourBanner Health is committed to pay equity and transparency. The posted compensation range is a reasonable estimate that extends from the lowest to the highest pay Banner Health in good faith believes it might pay for this particular job, based on the circumstances at the time of posting.This range is based on possible base salaries and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills, and geographic location, along with a review of current employees in similar roles to ensure pay equity is achieved and maintained.

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