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Job Requirements of Cleared Data Scientist (All Levels) with Security Clearance:
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Employment Type:
Full-Time
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Location:
Herndon, VA (Onsite)
Do you meet the requirements for this job?
Cleared Data Scientist (All Levels) with Security Clearance
In your role, you will work on teams with other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes.
As a data scientist you will be working alongside analysts to provide them services to develop AI/ML models on selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models.
On our team, you will:
• Identify, adapt, and integrate state-of-the-art research and open-source technologies into creative solutions.
• Develop and train new machine learning models.
• Identify, curate, and process large data sets.
• Research, apply, analyze, and document technical approaches and their outcomes.
• Leverage various computing resources such as GPU clusters and cloud-based compute servers.
Required Qualifications
• All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, and physics
• Junior-Level: 0-2 years of professional work experience.
• Compensation: $70,800 - $110,625
• Mid-Level: 2-4 years of professional work experience.
• Compensation: $70,800 - $133,750
• Senior-Level: 3-5 years of professional work experience.
• Compensation: $85,600 - $178,300
• Expert- Level:5+ years of professional work experience.
• Compensation: $114,100 - $178,300
• Compensation will vary based on level.
• **Active TS clearance with Polygraph** Desired Qualifications
• The ideal candidate has proficiency with major data science tools and languages such as Python, NiFi (a plus), PostgreSQL/SQL, Spark, and Git
• Experience working with open-source data sets.
• Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data.
• The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
• Experience working with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure Overview Noblis and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions.
We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions.
Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors.
Learn more at Noblis -About Us Why work at a Noblis company? Our employees find greater meaning in their work and balance the other things in life that matter to them.
Our people are our greatest asset.
They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public.
Noblis has won numerous workplace awards .
Noblis maintains a drug-free workplace.
• Remote/hybrid status is subject to change based on Noblis and/or government requirements Total Rewards At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being.
Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs.
Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards.
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs.
Other offerings may be provided for employees not within this category.
We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws.
The projected compensation range for this position is based on full time status.
For part time or on-call staff, compensation is proportionately adjusted based on hours worked.
While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range USD $70,800.00 - USD $178,300.00 /Yr.
Equal Employment Opportunity Noblis is an Equal Opportunity Employer.
Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.
Noblis is committed to the full inclusion of all qualified individuals.
As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations.
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact .
Recommended Skills
- Amazon Web Services
- Apache Hadoop
- Apache Nifi
- Apache Spark
- Artificial Intelligence
- Big Data
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Job ID: 8340_8055405
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