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Added - 02/07/25 Senior Level Data Scientist Technical Alexandria , Virginia

CyberPoint International
Bethesda, MD Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/2/2025

Added - 02 / 07 / 25 Senior Level Data Scientist Technical Alexandria , Virginia

CyberPoint International

USD 150,000 - 200,000

Added - 02 / 07 / 25 Senior Level Data Scientist Technical Alexandria , Virginia | Full-Time

Job Description

As a Senior Level Data Scientist at CyberPoint, you will take a leading role in designing, implementing, and optimizing advanced machine learning models and AI solutions that drive organizational success. You will lead technical initiatives, collaborate closely with cross-functional teams, and ensure the successful delivery of robust, scalable, and efficient data-driven solutions. In this role, you'll manage the integration of complex AI technologies such as NLP, generative AI, and large-scale data processing, all while ensuring alignment with the company’s strategic goals. You will be a key player in pushing the boundaries of innovation and ensuring the continuous improvement of our AI-driven products.

Required Education :

  • Bachelor’s Degree plus 7-10 years of experience, or
  • Master’s Degree plus 5 years of experience

Required Skills / Experience :

  • Extensive experience in machine learning (ML), including fields like Natural Language Processing (NLP), computer vision, and statistical learning theory
  • Hands-on expertise with NLP, Large Language Models, text embedding, semantic queries, generative AI for text, and retrieval-augmented generation (RAG)
  • Strong familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects
  • Solid understanding of various ML algorithms (supervised and unsupervised learning, reinforcement learning, neural networks)
  • Proficient in version control systems such as Git for collaboration and code management
  • Experience in ML engineering or data science, specifically building ML models
  • Strong coding skills in Python, R, Scala, Java, or C , with a focus on creating reproducible, well-documented code
  • Experience with Apache Spark and Databricks for distributed AI / ML workloads
  • Expertise in working with large datasets (petabytes), uncovering hidden patterns, using data visualization tools, and writing SQL queries
  • Experience with GPUs for model development
  • Proficient in cloud-based data persistence, particularly RDS PostgreSQL and PostgreSQL extensions like pgvector
  • Experience with persisting vectorized data from text embedding processes using Elastic and / or OpenSearch, and vector-enabled RDBMS like pgvector-enhanced PostgreSQL
  • Ability to communicate technical concepts effectively to business, technical, and lay audiences, with experience delivering data-driven presentations
  • Security Clearance : Minimum active Top Secret (TS) clearance with Sensitive Compartmented Information (SCI) eligibility
  • Major Duties / Tasks :

  • Design & Development : Lead the design, configuration, development, testing, and support of informatics and data science solutions for various technical use cases
  • Collaboration : Work closely with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into Search Portfolio products, leveraging resources from the CDAO or DoD community
  • AI Model Optimization : Optimize AI models for performance, scalability, and efficiency using cloud-based resources and distributed computing frameworks, especially Apache Spark and Databricks
  • Research & Innovation : Stay updated on AI advancements and contribute to applying new research findings to enhance Search Portfolio products
  • Lifecycle Management : Manage the lifecycle of AI / ML components, from research and development to deployment and optimization
  • Data Analysis & Diagnostics : Apply analytical methodologies to diagnose and address data-related challenges, ensuring performance optimization
  • Documentation & Presentation : Document and present design alternatives, technical findings, and requirements to stakeholders
  • Data Modeling & Analysis : Develop strategic, baselined data modeling processes and accurately determine cause-and-effect relationships
  • Tool Development : Maintain and guide the development of common libraries and tools used across teams
  • Rapid Prototyping : Contribute to the formulation of strategies to achieve rapid prototyping
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    Salary : $150,000 - $200,000

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