Data Scientist

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profile Job Location:

Catoosa, OK - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

Description

As a Data Scientist at CNE you will partner with a Senior Data Scientist and Analytics Manager to identify opportunities where AI/ML can create measurable business value. You will design and implement technical solutions across diverse business areas from building data pipelines and developing models to deploying production-ready systems. This role requires creativity technical expertise and strong communication skills to translate ambiguous requirements into actionable insights and scalable solutions.



Responsibilities
  • Develop and maintain organized version-controlled code bases.
  • Build reliable data pipelines for feature engineering and data manipulation.
  • Produce high-quality code beyond model training ensuring robust deployment.
  • Translate informal business requirements into clear problem definitions.
  • Advise leadership on modeling analytics strategy and data-driven decision-making.
  • Design and implement data storage synthesis and analysis frameworks.
  • Review analyses for accuracy completeness and adherence to standards.
  • Support teams throughout all phases of the analytics lifecycle.
  • Create tools and methods to extract and analyze complex information.
  • Prepare presentations for executive management and committees.
  • Stay current through professional education and continuous learning.
  • Lead or guide the work of other employees when required.


Qualifications
  • Graduate degree (MS/PhD) or BS with equivalent experience in Statistics Applied Mathematics Computer Science or related fields.
  • Strong programming skills in Python PySpark or R; experience with frameworks such as scikit-learn and PyTorch.
  • Proficiency in SQL and data manipulation using open-source tools.
  • Hands-on experience with ML techniques: regression classification deep learning time series and modern approaches.
  • Experience building feature pipelines model training evaluation and monitoring.
  • Familiarity with version control (Git preferred) and MLOps concepts/tools.
  • Robust analytical and data wrangling skills with a creative approach to problem-solving.
  • Strong visualization presentation and communication abilities.
  • Ability to work independently as a professional developer including reviewing code.
  • Must be able to obtain and maintain licensing by the appropriate gaming authority.


DescriptionAs a Data Scientist at CNE you will partner with a Senior Data Scientist and Analytics Manager to identify opportunities where AI/ML can create measurable business value. You will design and implement technical solutions across diverse business areas from building data pipelines and devel...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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Join the team that values your skills and expertise. Preting was founded by a unique mix of national security professionals who have extensive experience protecting vital interests. ;We combine the ingenuity of the special operations enterprise with the flexibility and innovation of t ... View more

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