27 DATA SCIENTIST (TOP SECRET CLEARANCE REQUIRED) Jobs in Springfield, VA
NorthHill Technology is Hiring a DATA SCIENTIST (TOP SECRET CLEARANCE REQUIRED) Near Springfield, VA
Data Scientist:
This position supports the Geospatial Services & Solutions business area to provide high-quality, cost-effective solutions to the customer. As part of the GSS Team the Data Scientist's expertise is needed to support a sophisticated enterprise environment.
The Scientist is an active participant in SAFe and Scrum development teams and meetings.
SPECIFIC DUTIES AND RESPONSIBILITIES:
- Identify data sources and automate collection processes
- Perform preprocessing of structured and unstructured data
- Analyze large, complex data sets to identify trends and patterns
- Build predictive models and machine learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to address Key Intelligence Questions
- Collaborate with engineering and product development teams
Required Skills:
- 5 years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analysts and Bachelor's Degree in Computer Programming, Science, Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
- 5 years of experience in a Linux environment
- Direct experience and demonstrated proficiency with Python programming to build containerized microservices that use message queues such as activemq or rabbitmq.
- Experienced in ML Model performance testing and hyperparameter tuning (Tensorboard, wandb, mlflow)
- Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch.
- Experience with workload managers (SLURM, Argo Workflow, Airflow)
- Strong problem solving and troubleshooting skills
- Strong communication and interpersonal skills
- Must possess excellent time management skills and the drive to work unsupervised
- Active TS/SCI clearance required and eligibility to obtain a CI poly
Desired Skills:
- Prior experience working with or within the Intelligence Community or a military intelligence unit
- Understanding of access management and security groups (i.e. IAM, S3 bucket, SSH, VPN, etc.)
- computer vision related experience with torchvision or tensorflow object detection APIs.
- Additional languages on top of Python preferred (C , Julia, Go, R)
- Familiarity with Cloud Platform AI-ML toolsets (e.g. AWS Sagemaker, GCP Vertex)
- Experience building data pipelines with spark, kafka, or nifi
Job Summary
Full Time
$161k-198k (estimate)
04/17/2024
06/15/2024
The job skills required for DATA SCIENTIST (TOP SECRET CLEARANCE REQUIRED) include Machine Learning, Python, Algorithms, Programming, Problem Solving, AWS, etc. Having related job skills and expertise will give you an advantage when applying to be a DATA SCIENTIST (TOP SECRET CLEARANCE REQUIRED). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by DATA SCIENTIST (TOP SECRET CLEARANCE REQUIRED). Select any job title you are interested in and start to search job requirements.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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