- Company Name
- IntelliGenesis LLC
- Job Title
- Data Scientist Level 3
- Job Description
-
Job Title: Data Scientist Level 3
Role Summary:
Lead complex data science initiatives on highly classified projects, transforming large, varied datasets into actionable insights. Drive end‑to‑end analytics pipelines—from data curation and statistical modeling to the communication of findings for non‑technical stakeholders—while ensuring compliance with strict security and information assurance standards.
Expactations:
- Deliver clear, principled conclusions that support mission‑critical decisions.
- Recommend and implement advanced analytical algorithms and machine learning solutions, maintaining awareness of evolving tools and limitations.
- Communicate technical outcomes to diverse audiences, translating sophisticated analytics into executive‑level recommendations.
- Maintain a high level of technical proficiency and knowledge in applied mathematics, statistics, and computer science.
Key Responsibilities:
- Design, build and validate machine‑learning models and statistical analyses for large, heterogeneous datasets.
- Curate, clean, transform, and document data to ensure reproducibility and integrity.
- Perform exploratory data analysis, feature engineering, and model assessment using domain‑specific considerations.
- Develop and maintain scalable data pipelines and workflows, ensuring alignment with security and privacy requirements.
- Translate mission objectives and analytical questions into technical specifications and vice versa.
- Evaluate competing technical solutions, recommending optimal approaches that balance performance, security, and operational cost.
- Prepare concise reports, visualizations, and presentations for analysts, managers, and executive stakeholders.
- Mentor junior data scientists and collaborate cross‑functionally with engineering, operations, and intelligence teams.
Required Skills:
- Minimum 10 years of relevant data‑science experience (12 years required for associate degree holders).
- Expertise in at least two of: machine‑learning design/implementation, advanced analytical algorithms, statistical analysis, data mining, data modeling, AI, software engineering, and data management.
- Proficiency in a high‑level programming language (e.g., Python).
- Strong foundation in applied mathematics, statistics, and computer science.
- Ability to develop qualitative and quantitative methods for exploring and assessing large, unstructured datasets.
- Excellent written and verbal communication skills for explaining complex technical concepts to non‑technical audiences.
- US Citizen only; active TS/SCI clearance with polygraph required.
- Information Assurance certification preferred.
Required Education & Certifications:
- Bachelor’s degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or related field (Associate degree acceptable with accredited Data Science certificate).
- TS/SCI clearance (active) and polygraph.
- Information Assurance certification (preferred).