Machine Learning Engineer - Data Science - Virginia United States - 34026



JOB DESCRIPTION

Job #: 34026
Title: Machine Learning Engineer - Data Science
Job Location: , Virginia - United States
Employment Type:
Salary: contact recruiter for details
Employer Will Recruit From: Nationwide
Relocation Paid?: Negotiable

WHY IS THIS A GREAT OPPORTUNITY?


Quality of work life with advancement to grow are intricate to the company’s success. Their positions are not just a job but they are great career opportunities. Premium positions for premium talent!

My client provides an outstanding work environment for its employees with excellent benefits and highly competitive compensations. Employees will enjoy tuition reimbursements, 401(k), profit sharing, health and welfare benefits, gym, needed subsidies for training and conference attendance to foster continued learning and development, and a focused casual yet technically challenging work environment.

JOB DESCRIPTION

My client needs a Machine Learning Engineer specializing in Data Science. This individual will develop, implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets.

They will apply state of the art and novel techniques such as supervised and unsupervised learning, machine learning, and deep learning to problems such as classification, anomaly detection, and forecasting.

They will develop cutting edge systems and work collaboratively with our software engineers to design and deploy models into production.

They will also interact with customers to understand requirements and apply iterative feedback to development.

QUALIFICATIONS

All applicants must be a US citizen and willing to obtain a U.S. Security Clearance

Core Requirements:

A U.S. citizen and have ability to obtain and maintain a security clearance.

Degree in a scientific field such as Computer Science, Math, Statistics, Data Science, or Physics.

Motivated collaborator who’s comfortable communicating to both technical and non-technical audiences.

Previous experience (internships and academic work included) working with complex datasets and building statistical, machine learning, or deep learning models.

Proficiency with a one or more programming language such as Python, MATLAB, Java, or C++.

Understanding of and experience with statistical and machine learning techniques.

 

Highly Desired Qualifications:

Active TS or TS/SCI security clearance

Experience with one or more deep learning frameworks such as PyTorch or Tensorflow.

Experience working with large datasets and familiarity with big data infrastructure, such as AWS, Hadoop, Spark, Dask, or MapReduce.

MS or PhD in a scientific field such as Computer Science, Statistics, Mathematics, or Physics.

Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming..

Track record of developing, implementing, and evaluating statistical algorithms against real datasets

Education:
University - Bachelor's Degree/3-4 Year Degree

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