About this opportunity
Avalore lists this Data Scientist opportunity in virginia, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Data Scientist will develop AI/ML models through training, fine-tuning, feature engineering, benchmarking, and deployment preparation. This person will apply scientific methodology to extract insights and create predictive capabilities from data. This person will analyze complex datasets to identify patterns and relationships, select and implement appropriate machine learning algorithms for specific problems, and develop feature engineering approaches to improve model performance. This person will design and execute model validation and testing procedures, tune hyperparameters to optimize model performance, and prepare models for production deployment. This person will create data visualizations to communicate findings and model results, collaborate with subject matter experts to incorporate domain knowledge, and document methodologies and results. This person will stay current with advances in data science techniques, evaluate new algorithms and approaches for potential adoption, and mentor junior data scientists. This person will ensure models meet requirements for accuracy, performance, and explainability, collaborate with AI/ML engineers for model deployment, and participate in data governance activities. This person will develop and implement data science workflows and methodologies, contribute to research initiatives, and support business stakeholders in interpreting model outputs.
SECRET Security Clearance Required
CCSP,CFR,FITSP-M,GSEC,Security+, or SSCP certification (for Junior/Journeyman roles)
SecurityX/CASP+,GCSA,GSLC, or CISSP (for Senior roles)
We are actively seeking multiple levels:
Junior: 0 - 3 years of experience + Bachelor's Degree
Journeyman: 4 - 7 years of experience + Bachelor's Degree
Senior: 8+ years of experience + Bachelor's Degree
Good communication skills, self-starter mindset.
Professional proficiency in English is required.
Demonstrated proficiency in using all Microsoft Office applications.
Applicants must be currently authorized to work in the United States on a full-time basis. Avalore will not sponsor applicants for work visas for this position.
Work Environment:
Moderate noise (i.e.business office with computers,phoneand printers) and /or occasional Loud noise (airfield, large equipment).
Ability to sit at a computer terminal for an extended period of time.
Physical Demands:
While performing the responsibilities of the job, the employeeis required tosit, stand, talk, andhear.
Employee isoften required to sit and use their hands and fingers tooperatea computer.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Travel:
Up to 10%/ Occasionaltravel.
Avalore will provide reasonable accommodations to applicants who are unable toutilizeour online application system due to a disability. Please send your request
Avalore is an Equal Opportunity Employer - Wenot discriminatebased on age, race, national or ethnic origin, gender,veteransstatus, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.
Eligibility requirements apply.
Employer Contributions to Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA) with a generous matching program
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Short Term & Long Term Disability
Training & Development
Employee Assistance Program
Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Salary estimates for this job range from $89,000 - $202,000.
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Worksite address
virginia, MN, 55792, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.