Senior AI/ML Data Scientist

Nyla Technology Solutions
Annapolis Junction, MD, United States
about 1 month ago
Apply on www.indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$152,000.0 - $180,000.0
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence Amazon Web Services Big Data Cloud Database Computer Programming Data Visualization Python (Programming Language) Machine Learning Power BI Cloud Services SQL Databases Computational Statistics
+7 more
Tableau (Software) Data Storage Technologies Apache Spark Pyspark Information Technology Machine Learning Operations Databricks

Job description

We are seeking a versatile Data Scientist / Machine Learning Engineer to join our team in Annapolis Junction, MD, leveraging artificial intelligence and advanced analytics to transform massive datasets into strategic mission insights. In this role, you will take full ownership of the AI/ML lifecycle-from designing mathematical models and writing automated Python workflows to deploying predictive models into cloud-native processing platforms. You won’t just build models in isolation; you will manipulate large-scale datasets using PySpark and SQL, build compelling data visualizations, and work side-by-side with cross-functional teams to tackle high-stakes data challenges. If you thrive on blending computational mathematics, predictive modeling, and scalable machine learning to uncover hidden trends in large datasets, you’ll fit right in with Team Nyla.

Requirements

AI/ML Model Development & Deployment: Hands-on experience developing, training, validating, and deploying machine learning models in production environments.

Large-Scale Data Processing: Practical background utilizing Apache Spark or cloud data platforms for distributed, large-scale dataset manipulation.

Programming & Querying Proficiency: Strong expertise in Python (including data science packages) and SQL for data modeling, extraction, and transformation.

Statistical & Predictive Modeling: Background in advanced statistics, computational mathematics, and quantitative/qualitative analytical techniques.

Data Visualization & Analytics Automation: Demonstrated skill creating automated analytics workflows and building intuitive dashboards/visualizations using Tableau, Power BI, or Python libraries.

Education: Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline, PLUS 7+ years of professional experience in data science, predictive modeling, and AI/ML engineering OR Master’s Degree in a quantitative discipline, PLUS 5+ years of specialized experience developing and deploying machine learning models on large datasets OR High School Diploma / GED, PLUS 11+ years of hands-on technical experience in data science, advanced analytics, and predictive modeling in lieu of a degree. , Desired Skills

Target Knowledge / OCP Experience: Target knowledge or direct experience with OCP (Operational Capability Packages / Operational Target Frameworks). Cloud Data Architectures: Experience leveraging cloud-native analytics services (e.g., AWS SageMaker, EMR, Databricks) for distributed model training and data storage. Cross-Functional Collaboration: Strong history of collaborative problem-solving within multi-disciplinary engineering and intelligence teams.

Benefits & conditions

Pulled from the full job description

  • Loan repayment program
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • 401(k) 10% Match, The annual base salary range for this role is $152,000-$180,000 (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., 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.

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

See all

Related articles

See all