Sr Staff / Senior Scientific Data Analyst

SciTec; Boulder (CO); On-site; USD 126,000 - 175,000; Full time

Benefits offered by this job

4% Safe Harbor 401(k) match

Company-paid HSA Medical insurance

Dental insurance (80% covered)

Vision insurance (100% covered)

Life insurance (100% covered)

Long-term Disability insurance (100%)

Short-term Disability insurance

Annual Profit-Sharing Plan

Discretionary Performance Bonus

Paid Parental Leave

Generous Paid Time Off

Flexible Work Hours

Job summary

SciTec in Boulder, CO seeks a senior data analysis and simulation specialist to ingest, clean, and transform diverse datasets, build Python readers and pipelines, and design metrics to evaluate performance. You will interpret results for engineering teams and present findings clearly to technical and non-technical audiences.

You will design, configure, and troubleshoot simulations, extend Python tools, and prototype new analysis workflows. Collaboration across disciplines is essential.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Physical Sciences, or another quantitative field.
• 6+ years of professional experience in data analysis, scientific computing, simulation development, or related technical roles.
• Strong proficiency in Python, including writing, debugging, and extending medium-to-large codebases.
• Experience developing and maintaining data processing pipelines, including ingestion, cleaning, transformation, and validation of diverse datasets.
• Hands-on experience with scientific computing libraries such as NumPy, SciPy, Pandas, and Matplotlib.
• Demonstrated ability to design, run, and troubleshoot simulation or algorithm-evaluation experiments.
• Experience creating clear, reproducible visualizations and communicating analytical findings.
• Professional experience working in Linux environments.
• Proficiency with Git and collaborative development workflows.
• Ability to work independently with minimal oversight and collaborate across technical teams.
• Excellent written and verbal communication skills.
• Ability to work in person at the Boulder, CO office.
• Ability to obtain and maintain a DoD security clearance

Responsibilities

• Data Processing & Analysis – Ingest, clean, and transform diverse structured and unstructured datasets; develop Python-based readers, preprocessing pipelines, and visualization tools.
• Design and compute new metrics to evaluate algorithm, system, or experiment performance.
• Interpret raw and graphical performance data into actionable insights for engineering and scientific teams.
• Create formal analysis reports and present findings to technical and non-technical audiences.

Skills

Python

Data pipelines

Visualization

Linux

Git

Communication

Education

Bachelor’s degree in CS/Engineering/Math/Physical Sciences

Tools

NumPy

SciPy

Pandas

Matplotlib

Git

Job description

Responsibilities

Data Processing & Analysis – Ingest, clean, and transform diverse structured and unstructured datasets – Develop Python-based data readers, preprocessing pipelines, and visualization tools – Design and compute new metrics to evaluate algorithm, system, or experiment performance – Interpret raw and graphical performance data into actionable insights for engineering and scientific teams – Create clear, formal analysis reports and present findings to technical and non-technical audiences

Simulation & Experimentation

Design, configure, and troubleshoot simulation experiments for scientific or algorithmic evaluation – Modify, extend, and maintain existing Python simulation tools with minimal oversight – Develop novel Python code to support new experiment types or analysis workflows – Perform regular demos of experiments and results for cross-training and feedback

Technical Leadership & Collaboration

Work independently to scope, execute, and deliver complex analytical tasks – Collaborate across engineering, research, and product teams to share findings and refine methodologies – Mentor junior analysts and engineers in best practices for data processing, visualization, and experimental design – Participate in peer review of analysis methods, code, and reports – Contribute to documentation, knowledge sharing, and clear technical communication – Work as part of an indisciplinary Agile team – Other duties as assigned

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Physical Sciences, or another quantitative field – 6+ years of professional experience in data analysis, scientific computing, simulation development, or related technical roles – Strong proficiency in Python, including writing, debugging, and extending medium-to-large codebases – Experience developing and maintaining data processing pipelines, including ingestion, cleaning, transformation, and validation of diverse datasets – Hands‑on experience with scientific computing libraries, such as NumPy, SciPy, Pandas, and Matplotlib – Demonstrated ability to design, run, and troubleshoot simulation or algorithm‑evaluation experiments – Experience creating clear, reproducible visualizations and communicating analytical findings – Professional experience working in Linux environments – Proficiency with Git and collaborative development workflows – Ability to work independently with minimal oversight and collaborate across technical teams – Excellent written and verbal communication skills – Ability to work in person at the Boulder, CO office – Ability to obtain and maintain a DoD security clearance

Candidates who have any of the following skills will be preferred

Advanced degree (MS or PhD) in a quantitative or scientific discipline – Experience working with scientific, remotely sensed, or experimental data – Background in algorithm performance evaluation, numerical methods, or computational modeling – Experience developing custom analysis tools, simulation utilities, or experiment frameworks in Python – Familiarity with messaging and communication technologies such as Protocol Buffers (protobuf), ZeroMQ, Kafka, gRPC, or REST APIs – Experience with DevOps or CI/CD tools, such as Docker, Podman, Jenkins, or GitLab CI/CD – Experience with Agile processes and tools, such as Jira – Active DoD security clearance

Colorado Residents

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment.

Benefits

• SciTec offers a highly competitive salary and benefits package, including:


• 4% Safe Harbor 401(k) match


• 100% company paid HSA Medical insurance, with a choice of 2 buy-up options


• 80% company paid Dental insurance


• 100% company paid Vision insurance


• 100% company paid Life insurance


• 100% company paid Long-term Disability insurance


• Short-term Disability insurance


• Annual Profit-Sharing Plan


• Discretionary Performance Bonus


• Paid Parental Leave


• Generous Paid Time Off, including Holiday, Vacation, and Sick Pay


• Flexible Work Hours

The pay range for this position is $126,000-$175,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. This is not a guarantee of compensation.

Equal Opportunity

SciTec is proud to be an Equal Opportunity employer. Vet/Disabled.