Careers

Data Scientist

We are looking for a dedicated and experienced Data Scientist to join our dynamic team.

About Us:
At Oxbow, we are a team of passionate professionals, specializing in cutting-edge data solutions. We are at the forefront of technological innovation and excellence in data science. We specialize in leveraging data analytics to support critical government missions and decision-making processes. At Oxbow, we are fixated on transforming the culture of how government and industry work together by enabling a candid partnership that accelerates modernization, fosters collaborative innovation, and achieves tangible results, by harnessing the power of the Oxbow.

Job Description:
We are looking for a dedicated and experienced Data Scientist to join our dynamic team. This role involves analyzing complex data sets to derive actionable insights, developing predictive models, and contributing to the strategic use of data in support of national security objectives.

Key Responsibilities:

  • You will collect, analyze, and interpret large datasets from various sources to address complex problems.
  • You will utilize statistical, algorithmic, mining, and visualization techniques to model complex problems, discover insights, and identify opportunities.
  • You will develop predictive models and machine-learning algorithms.
  • You will present information using data visualization techniques.
  • You will propose solutions and strategies to business challenges.
  • You will collaborate with engineering and product development teams.
  • You will stay updated with the latest technology trends in data science and analytics.

 

Qualifications:

  • Unquestionable integrity, credibility, and character.
  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field. In some instances, a degree can be waived in lieu of functional relevant experience.
  • Minimum of 3 years of experience as a Data Scientist or in a similar role.
  • Proficiency in data mining, mathematics, and statistical analysis.
  • Advanced pattern recognition and predictive modeling experience.
  • Experience with programming languages such as Python, R, SQL, etc.
  • Knowledge of machine learning frameworks and tools.
  • Excellent communication and presentation skills.

Clearance Requirements:

  • Proof of U.S. citizenship or US permanent residency may be a requirement for this position.
  • Must be able to complete a U.S. government background investigation.

Benefits:

  • Competitive salary package.
  • Health, dental, and vision insurance.
  • Retirement savings plan.
  • Professional development and continuous learning opportunities.
  • Generous paid time off and holiday schedule.
  • Dynamic and supportive work environment.
  • Access to state-of-the-art technology and resources.

How to Apply:
Interested candidates should submit a resume and cover letter detailing their qualifications and experience to careers@oxbow.pro. Please include “Data Scientist Position” in the subject line.

Deadline for Application: Open/Continuous

Oxbow is an equal-opportunity employer and values diversity in its workforce.  Oxbow prohibits discrimination and harassment of any kind: Oxbow is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Oxbow are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Oxbow will not tolerate discrimination or harassment based on any of these characteristics.

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