- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Data Scientist Level 2.
Urgent! Data Scientist Level 2 Job Opening In Annapolis Junction – Now Hiring Nyla Technology Solutions
ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL is required
A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
Data Scientist with analytic development skills to support a highly visible cyber sensor and analytic modernization program.
The candidate will work with a team to analyze and characterize large data sets, create data visualizations, and identify anomalous/interesting behavior.
The successful candidate will have experience with analysis in the cyber domain and discovery operations, and have experience with algorithm design and development in cloud environments.
The annual base salary range for this role is $163,000-$193,000 (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.
Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree.
A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.
Required Skills:
• Data science and machine learning experience
• Experience with DataFrames (Pandas or Spark)
• Experience incorporating SME input into feature vectors
• Ability to produce analysis results and data visualizations that provide insight into dataset structure and meaning
Desired Skills::
• PySpark and/or distributed computing
• Experience working in cloud environments (Azure, AWS)
** This position will have up to 60% telework.
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 .
Nyla is an equal opportunity employer.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in Annapolis Junction, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in Annapolis Junction, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 53449 jobs in United States and 292 jobs in Annapolis Junction. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Nyla Technology Solutions is currently hiring and seeking a Data Scientist Level 2 to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Level 2 Jobs Annapolis Junction.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Nyla Technology Solutions adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Level 2 Jobs United States varies, but the pay scale is rated "Standard" in Annapolis Junction. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist Level 2 typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist Level 2, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist Level 2 interview at Nyla Technology Solutions, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Nyla Technology Solutions's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Data Scientist Level 2 is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!