Data Scientist, Senior TS/SCI

Brief Description

LaunchCode is recruiting for a Data Scientist to work at one of our partner companies!

Details • Full-Time W2, Salary • Immediate opening • In Person, Reston, VA or Belvoir, VA • Pay $99,000 to $225,000 a year • Minimum Experience: 5 years

Disclaimer: Please note that we are unable to provide work authorization or sponsorship for this role, now or in the future. Candidates requiring current or future sponsorship will not be considered.

Job Description

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at the company, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data.

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have • 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience with production-level systems, data lake environments, and streaming data, including Kafka • Experience implementing end-to-end ML workflows from data prep to deployment and evaluation • Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes • Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search • Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week • TS/SCI clearance • Bachelor's degree

Nice If You Have • Experience collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines • Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera • Experience deploying Docker and Kubernetes solutions for containerized capability development • Experience in the development of algorithms leveraging Python, SQL, or NoSQL • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL • Security+ Certification

Clearance • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.