Senior-Level Data Scientist

Required Education:

• Bachelor’s degree plus 7-10 years of experience, or a Masters degree plus 5 years of experience.
• TS/SCI or higher.

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

Major Duties/Tasks:

• Design, configure, develop, test, and support 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 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.
• Apply analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance.
• Document and present 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.
• Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools.
• Maintain and guide the development of common libraries and tools used by multiple teams.
• Aid in formulating a strategy on how to achieve rapid prototyping.

Synovix is an equal opportunity employer