Senior Data Scientist

About the role

We need a Senior Data Scientist to lead end-to-end data science experiments, run exploratory data analyses, apply graph analytics, train interpretable classifiers, and handle entity resolution tasks in a government-controlled environment.

Responsibilities

• Lead end-to-end data science experiments.
• Run exploratory data analyses (EDAs).
• Apply graph analytics techniques.
• Train interpretable classifiers and Graph Neural Networks.
• Handle entity resolution using tools like Senzing.
• Apply LLM-based Named Entity Recognition and relationship extraction.
• Document everything thoroughly for reproducibility.
• Ensure rigor and transparency in all models and analyses.

Requirements

• An active DHS Public Trust clearance at time of hire.
• 7+ years of applied data science experience, including graph analytics or network analysis.
• Strong production-grade Python skills, including pandas, NumPy, scikit-learn, networkx, and at least one GNN library.
• Experience with probabilistic record linkage and entity resolution, such as Senzing, dedupe, FEBRL, Magellan, or a homegrown Fellegi-Sunter implementation.
• Comfort working without labels and interpreting models without clean ground truth.
• Statistical maturity, including knowledge of power analysis, confidence intervals, and avoiding p-hacking.
• Ability to present technical findings to non-technical stakeholders.
• Reproducibility practices, including version control, parameterized pipelines, deterministic seeds, pinned dependencies, and READMEs.
• Published research, open-source contributions, or conference talks in relevant fields.

Qualifications

• Knowledge of commercial data sources like LexisNexis, TransUnion, Babel Street, etc.
• Track record of explaining technical findings to federal subject matter experts.
• A reputation for finding bugs in pipelines before they affect deliverables.

Skills

• Python programming
• Graph analytics and network analysis
• Probabilistic record linkage and entity resolution
• LLM-based Named Entity Recognition and relationship extraction
• Statistical methods and power analysis
• Interpretability techniques (SHAP, feature importance, partial dependence plots)
• Entity resolution and anomaly detection
• Collaboration and presentation skills

Benefits

• Medical, dental, and vision insurance (fully paid)
• 15 days of paid leave
• 7 days of sick leave
• 2 days bereavement leave
• 11 paid Federal holidays
• Up to 40 hours for jury duty
• 401K with 4% employer contribution
• Up to 4 weeks of paid paternity and maternity leave
• Company-provided laptop
• $5,000 per year for professional development
• $600 per year for technical supplies and equipment
• $2,000 referral bonus
• Life and disability insurance
• HSA and FSA
• Legal Shield and ID Shield Voluntary Benefits

Pay

$122,860 per year

Schedule

Full-time