Full-Time Senior Data Scientist

Responsibilities:

• Develop, test, and optimize machine learning models and algorithms to solve complex business problems, ensuring high performance and generalizability across diverse datasets.
• Design, build, and maintain robust, scalable data pipelines targeting multiple database systems, including PostgreSQL and Elasticsearch. Ensure data is cleaned and tested for quality.
• Build models to extract, structure, and analyze data from unstructured formats such as images, PDFs, Excel files, and raw text, enabling automated data extraction and processing.
• Design and implement NLP models to extract and analyze textual data, including tasks like entity recognition, graph construction, and topic modeling.
• Develop compelling data visualizations and contribute to client-facing reports, effectively communicating analysis results and model performance to both technical and non-technical stakeholders.
• Ensure all data models, analyses, and processes are well-documented, maintain high quality standards, and are reproducible for use by other team members or stakeholders.
• Manage data science projects from scoping through delivery, provide updates to clients and other stakeholders, and manage project resources.
• Mentor junior data scientists and analysts, offering guidance on best practices in data analysis, machine learning, and AI, and fostering a culture of continuous learning and collaboration.
• Keep up to date with the latest advancements in AI and machine learning, incorporating new methodologies, tools, and techniques into existing workflows as appropriate.

Desired Qualifications:

• U.S. Citizenship.
• Ph.D. in data science, computer science, machine learning, mathematics, or a related field.
• 5+ years of data science/machine learning experience with a focus on language-based applications.
• Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP, including with transformer architectures and large language models.
• Strong programming skills in Python and proficiency with data manipulation and modeling libraries (e.g., NumPy, Pandas, SciPy, Scikit Learn).
• Database expertise, especially in PostgreSQL and Elasticsearch, with knowledge of large-scale/enterprise data architecture, optimization, and security.
• Experience with cloud-based distributed computing platforms (e.g., Spark, Dask).
• Project management skills, including articulating timelines, goals, and trade-offs to both internal and external stakeholders and manage project resources.
• Ability to work both independently and collaboratively in cross-functional teams.
• Self-motivated and curious, with the ability to identify, evaluate, and implement state-of-the-art machine learning solutions.
• Ability to obtain a DoD Secret clearance.
• Fluency in Mandarin is a plus.