Data Scientist 1 (Hybrid) at Baylor Scott White Health
Temple, TX 76502, USA -
Full Time


Start Date

Immediate

Expiry Date

27 Jun, 25

Salary

0.0

Posted On

27 Mar, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

JOB SUMMARY

The Data Scientist 1 serves as initial intake contact and works closely with key business stakeholders to develop use cases related to difficult to solve and complex business challenges. The Data Scientist 1creates machine learning models used to identify key data features that will enable the models to derive insights that are predictive in nature and enable stakeholders to be glean insights that enable action to improve business outcomes.

QUALIFICATIONS

  • EDUCATION - Masters’ or Bachelors plus 2 years of work experience above the minimum qualification
  • EXPERIENCE - 3 Years of Experience
  • Hybrid expectation- 1x a week in office
Responsibilities
  • Measures and delivers tangible insights and value to improve health system outcomes (improved customer experience, acute clinical, quality, safety, etc.) by leveraging data science and engineering methodologies.
  • Designs machine learning systems using programming skills, which involves assessing and organizing large datasets, executing tests/experiments to automate predictive models.
  • Partners closely with Data Scientist 2, business and IT stakeholders to thoroughly know current business processes and requirements.
  • Establishes the appropriate data technique and create the model to generate the insight required as defined by the requirements of the use case, in some cases.
  • Iterates and improves the predictability, explain-ability of models. Ensures analytics techniques used are scalable and efficient.
  • Partners with the Product Owner(s) and Data Engineer(s) to ensure that the appropriate data is provided to the model.
  • Helps with designing and building infrastructure to help analytics and experimentation.
  • Builds and maintains a robust library of data science solutions, reusable templates, algorithms and helping code.
  • Performs other position-appropriate duties as required in a competent, professional, and courteous way.
Loading...