CAE

Data Scientist I

CAE Tampa, FL

Rôle et responsabilités

THIS POSITION IS CONTINGENT UPON CONTRACT AWARD

Location TBD:

  • St Louis, MO
  • National Capital Region (Fort Belvoir, VA)
  • Rivanna Station, Charlottesville, VA
  • Tampa, FL

Who We Are:

  • CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, civil aviation, and healthcare by revolutionizing our customers’ training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness.
  • CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness.
  • CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make a difference in the world while helping each other succeed.

What We Have to Offer:

  • Comprehensive and competitive benefits package and flexibility that promotes work-life balance
  • A work environment where all employees are valued, respected and safe
  • Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
  • Recognition, professional development, advancement and having fun!

Summary

Work with large data sets to better understand the changing worldwide geopolitical and tactical level military landscape. Use a variety of data mining/data analysis methods and data tools to build and implement models, using/creating algorithms and creating/running simulations.

Essential Duties And Responsibilities

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Work with Government stakeholders to identify opportunities for leveraging data to drive data driven decision making
  • Mine and analyze data from existing databases to drive decision making
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications and Education Requirement:

  • Bachelor’s Degree, Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines; MA/ MS preferred
  • Minimum of two (2) years’ experience manipulating data sets and building statistical models
  • Familiar with the following software/tools:
    • Coding knowledge and experience with several languages: C, C++, Java,
    • JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using statistical computer languages: R, Python, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
    • Experience with distributed data/computing tools
    • Experience visualizing/presenting data for stakeholders
  • Strong problem-solving skills
  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques
  • Excellent organizational skills
  • Incumbent must possess active DoD TS/SCI Personal Security Clearance.

Security Responsibilities

Must comply with all company security and data protection / usage policies and procedures.  Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside company without management approval.  All government and proprietary information will be accessed and stored electronically on company provided resources.

  • Incumbent must possess active DoD TS/SCI Personal Security Clearance.
  • Preferred: TS/SCI with CI polygraph

Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role.

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

May be required to travel CONUS/OCONUS
  • Must have ability to work overtime as needed

  • Other Duties

    Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.

    CAE USA Inc. is an EOE/AA employer and gives consideration for employment to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you’d like more information about your EEO rights as an applicant under the law, please click here Know Your Rights: Workplace Discrimination is Illegal.

    PAY TRANSPARENCY NONDISCRIMINATION PROVISION The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

    Type d'emploi

    Régulier

    CAE remercie tous les candidats de leur intérêt. Toutefois, nous communiquerons uniquement avec les candidats dont l'expérience et la formation correspondent aux exigences du poste.

    Énoncé sur l'égalité d'accès à l'emploi

    À CAE, tout le monde peut contribuer à notre succès. Sans exception.

    Comme le reflète notre valeur principale "Un CAE", nous sommes fiers d’être une seule équipe passionnée, sans frontières et inclusive.

    À CAE, tous les employés sont accueillis indépendamment de leur race, de leur nationalité, de leur couleur, de leurs croyances, de leur sexe, de leur identité et de leur expression de genre, de leur orientation sexuelle, de leur handicap, de leur neurodivergence ou de leur âge.

    Dans cette offre d’emploi, le masculin générique est utilisé uniquement pour alléger le texte et désigne aussi bien le genre masculin, genre féminin ou diverses identités de genre.
    • Seniority level

      Entry level
    • Employment type

      Full-time
    • Job function

      Engineering and Information Technology
    • Industries

      Aviation and Aerospace Component Manufacturing

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