Senior Data Scientist

Job Description

ACTIVE SECURITY CLEARANCE AT THE TOP SECRET LEVEL IS REQUIRED

We are seeking a Lead Data Scientist & Data Engineer to drive the modernization of an enterprise data management ecosystem containing hundreds of thousands of current and historical records for critical defense and intelligence customer missions.

In this role, you will design, develop, and deploy scalable data engineering pipelines, advanced Natural Language Processing (NLP) solutions, semantic search frameworks, and automated document tagging capabilities.

You will combine hands-on Python development with enterprise platform expertise (such as Databricks and Palantir Foundry) to transform massive volumes of structured and unstructured data into actionable operational intelligence.

The annual base salary range for this role is $229,000-$246,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

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Required Skills

Data Engineering Pipelines: Hands-on experience designing, maintaining, and optimizing scalable ETL/ELT pipelines for structured and unstructured enterprise-scale data using Python, SQL, Apache Spark, and Databricks.

NLP & Machine Learning

Demonstrated ability to build, train, and deploy NLP pipelines for document summarization, text classification, clustering, automated tagging, and semantic search into production environments.

Data Quality & Profiling

Expertise conducting data-quality assessments, profiling, cleansing, validation, and anomaly detection to ensure high data integrity across large repositories.

Enterprise Platform Integration

Practical experience developing and deploying data pipelines and analytical workflows within enterprise data/AI platforms like Databricks, Palantir Foundry, or AWS/Azure cloud environments.

Agile & DevSecOps

Experience collaborating in Agile software development environments supporting automated testing, CI/CD, and DevSecOps practices.

Technical Communication & Mentorship

Ability to develop dynamic data visualizations/dashboards, communicate findings to diverse technical and leadership stakeholders, and provide technical guidance to junior engineers.

Education

Bachelor’s Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 6+ years of specialized data analytics or financial intelligence experience OR High School Diploma / GED, PLUS 16+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

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Desired Skills

Palantir Foundry Ecosystem: Deep experience with Palantir Foundry, including Pipeline Builder, Code Repositories, custom transformations, and Ontology development.

Generative AI & LLMs

Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG architectures), vector databases, and embedding-based search techniques.

Advanced ML & Analytics

Hands-on experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and big data/NoSQL platforms (PySpark, Scala, R, MongoDB).

Business Intelligence & Visualization

Experience crafting executive reporting solutions using Tableau, Power BI, Qlik, or Python visualization libraries.

Federal & Mission Focus

Direct experience supporting Department of Defense (DoD), Intelligence Community (IC), or secure federal government cloud environments.

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About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry.

We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.

If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,

Taking Care of All of You

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.

The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule.

PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!

LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave.

That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!

SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!

WHAT ABOUT OTHER BENEFITS? Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1!

Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.

To learn more about Nyla's culture and our exceptional benefit packages click here.

Nyla is an equal opportunity employer.