Senior Data Scientist & Analysis Lead (TS/SCI)

Zadentech; Denver (CO); On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Startup environment

Growth opportunities

Paid holidays

401k employer contributions

Health insurance coverage (50%)

Job summary

Zaden Technologies is hiring a Senior Data Scientist / Analysis Lead for a on-site role in Aurora, CO, with start anticipated January 2027. You will lead independent analysis for modernizing ground data processing for a national security space mission, building automated validation of performance against legacy baselines.

Responsibilities include designing baseline captures, building automated pipelines, defining metrics and evidence standards, and presenting findings to leadership.

Qualifications

• 7+ years in data science, quantitative analysis, or test and evaluation for complex software or mission systems.
• Strong Python and data engineering skills (Pandas or similar, SQL, data pipelines) and statistics fundamentals.
• Ability to work independently as a trusted verification voice on a multi-company team.

Responsibilities

• Design and run baseline captures on legacy applications (outputs, timing, resource envelopes) and replay-based comparisons against modernized builds.
• Build automated analysis pipelines that diff telemetry and generate per-application, per-release performance and regression reports.
• Define the metrics, acceptance thresholds, and evidence standards used to accept each migrated application.
• Present independent findings to program leadership and stakeholders with clear, defensible data.
• Mentor supporting data engineers and test automation engineers as the analysis team grows.

Skills

Python

Data engineering

SQL

Statistics

Tools

Pandas

SQL

Job description

Zaden Technologies is hiring a Senior Data Scientist / Analysis Lead for a on-site role in Aurora, CO, with start anticipated January 2027. You will lead independent analysis for modernizing ground data processing for a national security space mission, building automated validation of performance against legacy baselines.

Responsibilities include designing baseline captures, building automated pipelines, defining metrics and evidence standards, and presenting findings to leadership.