Category: Data Science
Travel Required: No
Remote Type: No
Sunayu, LLC is looking for a Data Scientist to lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications.
- Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges and deliver innovative, production-ready algorithms and platforms.
- Apply cutting-edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics.
- Work with diverse data types (structured, unstructured, open source, digital media) and leverage modern tools such as Python, PyTorch, Scikit-learn, LLM frameworks, and geospatial analytics platforms.
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment.
Basic Requirements:
- Bachelor's, Master's, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.). Relevant experience may be substituted for a degree.
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master's).
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph.
- Proficiency in Python and at least one other scripting language.
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user-friendly analytical platforms.
- Track record of creative problem solving, active learning, and mission-focused outcomes.
- Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift).
Preferred Qualifications:
- Experience supporting military or intelligence community customers.
- Expertise with knowledge graphs (neo4j, graph ML), predictive algorithms, image classifiers, object detectors, information retrieval, SQL, Elastic Stack.
- Experience deploying data science applications (e.g., Streamlit) and working with distributed systems (Hadoop, Ray, Spark).
- Familiarity with Azure/C2S, hardware platforms (CPUs, GPUs, FPGAs), and advanced analytical methodologies (social network analysis, supply chain analysis, NLP, classification algorithms, image processing).
- Experience with Large Language Models (LLMs), Multimodal LLMs, Langchain, vLLM, llama.cpp.
Pay Rate
Salary range considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills, as well as market and business considerations when extending an offer.
Benefits
- 3 Medical Plan Options
- Dental and Vision
- FSA, DCFSA, HSA
- Life/AD&D Insurance
- Short-Term & Long-Term Disability
- Employee Assistance Program (EAP)
- Training and Educational Assistance
- Paid Time Off (PTO)
- 11 Federal holidays
- 401k plan with up to a 6% match (100% immediate vesting)
