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Parsons Corporation Senior Data Scientist in Colorado Springs, Colorado

Minimum Clearance Required to Start:

Top Secret SCI

Job Description:

Job Description

Parsons is a leader in the development of cutting-edge artificial intelligence solutions for the Department of Defense (DoD) and Intelligence Community. Our success can be attributed to our people and our priorities. We hire the best, we make them a priority, and we never lose focus on the mission.

We are supporting a large contract to develop advanced tools and applications in support of the Joint Warfare Analysis Center (JWAC) in Dahlgren, VA. Our team is looking for a Senior Data Scientist with a desire to develop and deploy state-of-the-art artificial intelligence and machine learning (AI/ML) solutions that solve some of the most challenging problems facing our nation. Recognized as a leader in the application of AI/ML within the DoD, our work includes machine vision, natural language processing, pattern-of-life learning, anomaly detection, predictive analysis, adversarial plan recognition, and advanced sense-making.

Are you an experienced Data Scientist looking for an opportunity to grow your skillset? Are you interested in developing world-class machine learning and artificial intelligence solutions? Do you want to be part of a team that is helping the DoD solve major national security challenges? If so, then we need your help.

Physical location for this classified work will be at the Joint Warfare Analysis Center in Dahlgren, VA and/or Parsons’ classified facility in Colorado Springs, CO.

Required Skills

  • Bachelor’s degree in Computer Science, Data Science, Mathematics, or related discipline with 5+ years of industry experience. Relevant experience, applicable training and/or certifications may be substituted for a college degree.

  • Experience leading data science and machine learning initiatives including designing experiments for validating the efficacy of machine learned models

  • Experience with machine learning and data science tools (e.g., Python, R, Jupyter, Apache Spark, scikit-learn, Pandas, Google TensorFlow, Keras, Pytorch, etc.)

  • Experience in automating scalable machine learning and inferencing pipelines

  • Comfortable working in a fast-paced, flexible environment while taking the initiative to learn new tools and concepts quickly

  • Excellent communication skills, in both spoken and written English

  • Must be a US Citizen with an active Top-Secret clearance and DCID eligibility for SCI

Desired Skills

  • Master’s degree in Computer Science, Data Science, Mathematics, or related discipline

  • Java and/or Scala programming

  • Geospatial Analysis tools (e.g., Shapely, GeoPandas, ArcGIS, PostGIS, GeoServer, etc.)

  • Network modeling tools (e.g., NetworkX)

  • Computer Vision tools (e.g., Yolo, ResNet, MobileNet, EfficientNet)

  • Natural Language Processing tools (e.g., BERT, AllenNLP, spaCy)

  • Experience with Semantic Web, NiFi, AWS/SageMaker, Kubernetes, and/or Hadoop

This position pays a minimum annual salary of $98,800.00 and a maximum annual salary of $172,900.00.

Benefits for this position include: medical, dental, vision, paid time off and 401K.

Must be able to obtain, maintain and/or currently possess a security clearance.

The position may require a COVID vaccination or an approved accommodation/exemption for a disability/medical condition or religious belief as required by federal, state, provincial or local mandates or customer requirements.

About Us

Parsons is a digitally enabled solutions provider focused on the defense, security, and infrastructure markets. With nearly 75 years of experience, Parsons is uniquely qualified to deliver cyber/converged security, technology-based intellectual property, and other innovative services to federal, regional, and local government agencies, as well as to private industrial customers worldwide.

Parsons is an equal opportunity, drug-free employer committed to diversity in the workplace. Minority/Female/Disabled/Protected Veteran/LGBTQ+.

For more about Parsons, visit parsons.com and follow us on Facebook, Twitter, LinkedIn, and YouTube.

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