Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Responsibilities
- Discuss with faculty and senior researchers to identify research questions, discuss results, analyze alternative routes to ensure progress
- Conduct literature search prior to and throughout each research project to familiarize oneself with state of the art
- Implement code to run experiments to explore the research questions, analyze results
- Document work, including: documenting code, drafting manuscripts, prepare slideshow presentations for internal review and for conferences
Requirements
- Minimum Qualifications: Intermediate Professional Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
- 1 year of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
- Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
- Senior Professional Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
- 2 years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
- Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
- Principal Professional Bachelor’s degree in computer science, management/computer information systems, computer engineering, information technology, or a directly related field from an accredited institution.
- 3-5 years of professional experience as a machine learning researcher in an academic research institution or as a machine learning engineering/developer in a private company.
- Experience in coding using python, as well as using machine learning libraries such as sklearn, opencv, pytorch (or tensorflow).
- SUBSTITUTION: A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s degree on a year-for-year basis. Applicants must meet minimum qualifications at the time of hire.
Benefits
- Medical: Multiple plan options
- Dental: Multiple plan options
- Additional Insurance: Disability, Life, Vision
- Retirement 401(a) Plan: Employer contributes 10% of your gross pay
- Paid Time Off: Accruals over the year
- Vacation Days: 22/year (maximum accrual 352 hours)
- Sick Days: 15/year (unlimited maximum accrual)
- Holiday Days: 10/year
- Tuition Benefit: Employees have access to this benefit on all CU campuses
- ECO Pass: Reduced rate RTD Bus and light rail service
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