Job Description
Job Description
Job Description
Job Title: Senior Level Data Scientist
Location: DC Area
Required Education:
- Bachelor’s degree plus 7-10 year’s experience, or a master’s degree plus 5 years of experience.
Required Skills/Experience:
- 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 persisting vectorized data from text embedding processes using Elastic and/or OpenSearch, in addition to vector enabled RDBMS like pgvector enhanced PostgreSQL
- Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
- Possess a minimum of an active Top Secret (TS) security clearance with Sensitive Compartmented Information (SCI) eligibility
- U.S. citizenship required
Major Duties/Tasks:
- 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
Synovix, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable Federal, State, or Local Law.
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