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Company

MetroStar · 5 hours ago

Sr. Data Scientist II (5492)

United States

Full-time

Remote

Senior Level

5+ years exp

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Artificial Intelligence (AI)Cloud Data Services

Actively Hiring

No H1B

Security Clearance Required

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Responsibilities

Designs, configures, develops, tests, and supports informatics and data science solutions for a wide array of technical use cases;

Collaborate with cross-functional teams, including data scientists and software engineers to integrate AI solutions developed by other elements of CDAO or the DoD community into Search Portfolio products when appropriate

Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks, specifically Apache Spark/Databricks. Ability to adapt code base to also run using GPU enabled Kubernetes clusters.

Stay updated on and contribute to the latest advancements in AI research, applying new findings to improve Search Portfolio products

Manage the lifecycle of AI/ML components used in Search Portfolio products from research and development to deployment and optimization

Applies analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance;

Documents and presents requirements, design alternatives, and findings to team members and clients;

Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships; and

Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.

Maintains and guides the development of common libraries and tools used by multiple teams.

Aids in formulating a strategy on how to achieve rapid prototyping

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML model developmentApache Spark/DatabricksNatural Language Processing (NLP)PythonMachine learning algorithmsData visualization toolsVersion control (Git)Data preprocessingCloud-based data persistenceSQLData miningRScalaJavaC++Generative AIData-driven presentationsFeature engineeringReinforcement learningNeural networksGPU computing

Required

Bachelor’s degree plus 7-10 years of data science experience, or a Masters Degree plus 5 years of data science experience.

Active Top Secret clearance with the ability to obtain a SCI

Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory

Hands-on experience with Natural Language Processing (NLP), Large Language Models, text embedding, semantic query, use of generative AI for text, and retrieval augmented generation (RAG)

Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects

Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks

Experience with version control systems like Git, enabling effective collaboration and code management

Experience in an ML engineer or data scientist role building ML models

Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility

Experience using Apache Spark/Databricks distributed compute environments for AI/ML workloads

Experience handling petabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models

Experience with cloud-based data persistence products, especially RDS PostgreSQL and PostgreSQL extensions such as pgvector.

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations