Data Scientist (25.27)

Work set-up: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Economics., At least three years of experience in deploying predictive analytics., Proficiency in Python programming, including libraries like NumPy, Pandas, and Matplotlib., Experience with machine learning tools such as Scikit-learn and deep learning frameworks like TensorFlow or PyTorch..

Key responsibilities:

  • Develop, deploy, and fine-tune machine learning models, including clustering techniques.
  • Explain and implement algorithms like Decision Trees and K-Nearest Neighbors from scratch.
  • Ensure strict HIPAA compliance and maintain data privacy standards.
  • Support clinical and operational data analysis for the USAFSAM Aerospace Medicine Consultation Division.

SIERTEK LTD logo
SIERTEK LTD Aerospace & Defense SME https://www.siertek.com/
201 - 500 Employees
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Job description

Job Details
Job Location: SIERTEK LTD BEAVERCREEK, OH
Position Type: Full Time
Salary Range: Undisclosed
Job Shift: Day
Description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and servicedisabled veteranowned company, we serve as prime and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.

SierTeK Ltd. is seeking a Data Scientist to support an opportunity remotely.

POSITION OVERVIEW SECTION

This effort includes tasks and activities to be performed by the employee to support the USAFSAM Aerospace Medicine Consultation Division specifically to support clinical and operational data analysis.

Essential Job Functions

Machine Learning Model Development

  • Develop, deploy, and finetune novel unsupervised, treebased clustering machine learning models
    • Algorithmic Knowledge & Coding Expertise

      • Accurately explain and code from scratch:
      • Decision Trees
      • KNearest Neighbors (KNN) algorithm
      • Must explain the difference between densitybased and binningbased clustering techniques
      • For KNN:
        • Able to implement naive version from scratch
        • If unable to optimize the implementation, must clearly explain optimized versions (e.g., KDTree, Ball Tree, Approximate Nearest Neighbor techniques
            • Demonstrate ability to:

              • Write an optimized list sorting algorithm from scratch within 1 hour without external references
              • Generate and minimize distance matrices in code (including writing vectorized implementations)
                • Data Privacy & Compliance

                  • Obtain HIPAA training upon beginning work
                  • Maintain strict HIPAA compliance to prevent any data breaches or leaks
                    • Qualifications

                      Minimum Position Requirements

                      Minimum of a Bachelor’s degree in an applied quantitative field such as:

                      • Computer Science
                      • Actuarial Science
                      • Operations Research
                      • Applied Mathematics
                      • Economics
                        • Experience Requirement:

                          • At least three (3) years of experience in deploying predictive analytics.
                            • Technical Skills:

                              • Programming:
                                • Proficiency in Python with objectoriented programming (OOP).
                                  • Data Manipulation:
                                    • Experience using standard Python data manipulation libraries including:
                                      • NumPy
                                      • Pandas
                                            • Data Visualization:

                                              • Experience using Matplotlib for standard plotting and visualizations in Python.
                                                • Machine Learning:

                                                  • Experience with Scikitlearn and other Python opensource machine learning tools.
                                                    • Additional Requirement:

                                                      • NonDisclosure Agreement (NDA):
                                                      • Must have a signed NDA with their employer due to potential access to confidential, proprietary, or sensitive information.
                                                      • The NDA must be submitted to the Government Program Manager before the start of performance.
                                                        • Highly Desired Qualifications

                                                          • Experience collaborating with software engineers to develop interactive dashboards for AI technologies
                                                          • Experience in developing with pretrained language models (e.g., transformers, LLMs)
                                                          • Familiarity with dimensionality reduction techniques (e.g., PCA, tSNE, UMAP)
                                                          • Handson experience with deep learning frameworks such as TensorFlow, PyTorch, or other GPUenabled libraries
                                                          • Prior experience working with USAFSAM (U.S. Air Force School of Aerospace Medicine)
                                                          • Educational background or study in human biology
                                                          • Educational background or study in human performance
                                                            • SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.

                                                              This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

                                                              If you need assistance or accommodation due to a disability, you may contact us at 1+833.743.7835.

Required profile

Experience

Level of experience: Entry-level / graduate
Industry :
Aerospace & Defense
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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