Data Scientist
Location: Denver, CO, us
Company Description
Talent Navigation Experts is a boutique staffing firm in Denver, delivering all of your recruiting needs. We’re more than just headhunters; we provide best-in-class service for both Denver companies and the top talent they want to recruit. Job searches can be difficult, both for companies and candidates.
At Talent Navigation Experts, we guide Denver companies through the recruiting process with a customized staffing model built just for them. Quite simply, we bring great companies and great candidates together.
Job Description
About the Role: Our enterprise-level client, based in Denver, CO is a leading Oil and Gas producer who is committed to reducing its carbon footprint and working toward the use of more sustainable fuel resources. They are seeking a Data Scientist to join the team full-time to work with other Data Science and Machine Learning folks to build and deploy data to their AWS cloud environment. This is a great opportunity in a highly visible hybrid role with great pay, bonus, and benefits.
Qualifications
Required Skills:
- 5+ years in Data Science.
- Strong Python coding/scripting Skills.
- AWS CI/CD exposure.
- Ability to build models that can drive value of data. Deploy the data into AWS environment.
Additional Information
About the Company:
This enterprise-level arm of one of the largest Oil and Gas companies in the world is working hard, through new technology, to reduce its carbon footprint worldwide, focusing on more sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible opportunity to join a group focused on bleeding-edge technology. They offer a great salary, incredible bonus structure, and 401k match.
Compensation Range (pending experience): $130-168k plus a strong bonus and top tier 401k match
Talent Navigation Experts is an Equal Opportunity/Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity employer.
All your information will be kept confidential according to EEO guidelines.
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