Job Description

Data Scientist  Mid-Level
Job Id: MBS4189, MBS4214
Active TS/SCI-FSP
Openings: 3 plus  
Fulltime W2
Annapolis Junction, MD
Must be U.S. Citizen
Salary: $85k – 120k
No C2C

We are looking for a Data Scientist. The ideal candidate will have expertise in Python, bash scripting, ELK, API calls, Ghostmachine, Splunk, Linux, and Nifi. As a Data Scientist, you must have a strong understanding of statistical modeling, machine learning, and data visualization techniques. 

Our Client focuses on Software Engineering in the Cloud and Cyber Security domains. Our client's specialties include implementing real-time solutions and analytics through the use of interactive applications and the integration of industry-standard software stacks for both enterprise data intelligence and cyber security protection against network threats and exploits.

Nice to Have's:

• Design and implement data-driven solutions to help drive business decisions and improve processes.
• Develop statistical models and machine learning algorithms to analyze and predict trends in large datasets.
• Collaborate with cross-functional teams to identify data-driven solutions to business problems.
• Use Python, bash scripting, and other tools to manipulate and process large datasets.
• Use ELK, Splunk, and other tools to monitor and analyze system logs and other data sources.
• Use Ghostmachine and Nifi to create and manage data flows between different systems.
• Develop and implement APIs to enable data integration with other systems.
• Communicate insights and recommendations to stakeholders through data visualization and presentations.
• Stay up-to-date with emerging trends and technologies in data science.

Must Have's:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science or a related field.
• Proficiency in Python, bash scripting, ELK, API calls, Ghostmachine, Splunk, Linux, and Nifi.
• Strong understanding of statistical modeling, machine learning, and data visualization techniques.
• Active TS/SCI-FSP 

Benefits:

• Paid time off
• Retirement / 401k
• Health, Dental, and Vision insurance
• Disability insurance
• Life insurance, AD/D, STD/LTD
• Professional Development
• Certification Award / Bonus
• Company Sponsored Activities
• Salary: $85,000-120,000

When applying please include the following:

• Some travel may be required from time to time, is that acceptable?
• Do you have 3 years of experience as a DS?
• U.S. Citizen?
• What is your Security Clearance?

Rusty@NortecStaffing.com

Please note that Nortec Staffing exclusively communicates with candidates through Nortec Staffing email addresses ending with @NortecStaffing.com. Equal Employment Opportunity at Nortec Staffing, we are committed to fostering a workplace that upholds the principles of equal employment opportunity. We firmly believe in providing all employees and job applicants with fair and equitable treatment, irrespective of factors such as race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other protected classification under applicable local, state, or federal laws. Our dedication to equal opportunity extends across all facets of employment, including but not limited to hiring, job assignments, compensation, promotions, benefits, training, disciplinary actions, and terminations.

At Nortec Staffing, we are proud to create an inclusive and diverse environment where every individual is valued and respected. We recognize that different individuals may require reasonable accommodation to fully participate in our application process or perform their job duties. Requesting accommodation is entirely voluntary, and we are committed to assessing and providing appropriate accommodation as needed. If you require accommodation, please reach out to us at Rusty@NortecStaffing.com, and we will work together to ensure an equitable and accessible experience.