Data Science Engineer

2 weeks ago

Colorado Springs, United States Tatitlek Federal Services, Inc (TFSI) Full time


Data Science Engineer

Job Locations

US-CO-Colorado Springs

ID

2024-1995

Category

Information Technology

Position Type

Regular Full-Time

Overview

We are seeking a highly qualified Data Science Enginner to support the Dean of Faculty (DF) in advancing the academic and research mission. The selected contractor will provide expert guidance on data science technologies, strategies, and integration within a quasi-university environment founded on military standards.

DUTIES AND RESPONSIBILITIES:

  • Assess current and recommend future data science and data science-related cybersecurity technologies, methods, considerations, and uses for academics and research.
  • Advise the Dean of Faculty on data science academic and research policy, strategy, and architectural matters.
  • Act as the Dean's data science coach and liaison to the faculty, facilitating broad data curriculum and research experimentation, adoption, integration, and implementation.
  • Deliver draft assessments and recommendations quarterly and at specified periods.
  • Aid the Dean of Faculty in drafting an academic and research data strategy within the first 4 months, ensuring alignment with institutional and federal policy and goals. Integrate university and research center best practices and lessons learned. Assist in updating and maintaining the data strategy throughout the period of performance.
  • Provide training and coaching seminars and collaborations with departments at least monthly. Seminars can be formal while collaborations can be informal and ad hoc at the needs of the departments.
  • Assist in the experimentation, implementation, and adoption of data-centered technologies and methods into the classroom, lab, and research activities. Recommend technology configurations, cybersecurity implementations and mitigations, and cybersecurity approvals. Serve as a liaison between departments and other mission elements, facilitating cross-discipline integration and use of data technologies and methodologies.

REQUIREMENTS:

  • Ability to work in a high operations tempo environment.
  • Proficient in Microsoft Office and Adobe applications.
  • Minimum 5 years of experience:
    • Working with data science technologies, including data analysis, management, infrastructure, and cybersecurity.
    • As a Data architect and in developing data policy and strategy for a large institution.
    • Strongly desired: Experience in a university and/or research environment and implementing data analysis for AI in various disciplines.
    • Experience in data infrastructure design for AI use and training members in data technologies.
  • Minimum of a Master's degree in data sciences with an emphasis on data management, integration with AI, ML, infrastructure, and cybersecurity.

TRAVEL REQUIREMENTS:

Travel may be required, with at least 4 trips within the USA. Travel costs will be negotiated with the Government and may involve travel with government/military and other contractor personnel.

If you meet these qualifications and are ready to make a significant impact in the academic and research community, we encourage you to apply for this exciting opportunity.

ADDITIONAL QUALIFYING FACTORS:

Must have the ability to obtain and maintain a security clearance. In addition, a satisfactory background screening, negative drug test, positive references and proof of identity and legal authorization to work in the United States and for TTC are required. May require occasional travel.

The Tatitlek Corporation gives hiring, promotion, training and retention preference to Tatitlek shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job.

As an equal opportunity employer, The Tatitlek Corporation recognizes that our strength lies in our people. Discrimination and all unlawful harassment, including sexual harassment, in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected Veteran's status or employment.

Salary

DOE

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