Intellectix Logo

Intellectix

Data Scientist

Reposted 29 Days Ago
Hybrid
Springfield, VA
6-8 Annually
Senior level
Hybrid
Springfield, VA
6-8 Annually
Senior level
As a Data Scientist, you will analyze complex data sets, build machine learning models, and work in a team to provide solutions, ensuring data security and optimization.
The summary above was generated by AI

Data Scientist

Location: Springfield, VA
Clearance: TS/SCI
Citizenship: US Citizenship Required

Whether running countries, corporations, or courtrooms, our clients bear the responsibility for shaping the lives of millions. At Intellectix, we are on a mission to empower them with innovative technical solutions and drive transformational change. As a Data Scientist, you'll be the cornerstone of this mission, ensuring the security of crucial data, optimizing IT infrastructure, and simplifying business processes through cutting-edge software systems. Because at Intellectix, it's not what we do, it's why we do it.

Responsibilities & Duties:

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.

  • 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.

Qualifications:

Education/Experience:

  • 5+ years of experience as a Data Scientist, Data Engineer, ML Engineer, or Data Analyst and a 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.

Join Intellectix and be part of a dynamic team that thrives on tempo, teamwork, and technical excellence. Your skills and expertise will contribute to creating a safer and smarter tomorrow.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Similar Jobs

4 Days Ago
Hybrid
197K-246K Annually
Senior level
197K-246K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science initiatives for US Card acquisitions, developing and deploying machine learning models across their full lifecycle. Partners with data scientists, software engineers, product managers, and business stakeholders to solve complex problems, analyze large-scale numeric and textual datasets, validate models, and translate technical findings into business outcomes. The role also involves team leadership, talent development, model governance, monitoring, and ongoing model improvements.
Top Skills: SparkAWSCondaH2OMachine LearningPythonRRelational DatabasesScalaSQL
4 Days Ago
Hybrid
179K-246K Annually
Senior level
179K-246K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads data science initiatives for Capital One’s Card Mainstreet business. Partners with data scientists, software engineers, and product managers to develop customer-focused solutions; analyzes large-scale numeric and textual data; builds, validates, and implements machine learning models; translates technical findings into business outcomes; and supports innovation and team talent development.
Top Skills: SparkAWSCondaH2OMachine LearningPythonRRelational DatabasesScalaSQL
10 Days Ago
Hybrid
162K-201K Annually
Senior level
162K-201K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Develop generative AI and machine learning solutions for customer-facing and internal applications. Responsibilities include partnering with data scientists, engineers, and product managers; analyzing large numeric and textual datasets; building, training, validating, evaluating, and implementing models; researching emerging AI technologies; and translating technical findings into business outcomes.
Top Skills: AWSComputer VisionCondaDeep LearningH2OMachine LearningNatural Language ProcessingPythonRScalaSparkSpeech RecognitionSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account