Proficient in scripting or scientific languages like Python, R, or MATLAB
Familiarity with Free Open-Source Software and Commercial Off-The-Shelf products for statistical analysis
Experience in Linux OS environments
Strong communication skills for consulting with non-technical audiences
Responsibilities
Develop and implement statistical or simulation models
Consult with teams to translate technical problems into quantitative solutions
Automate quantitative workflows and ETL processes
Maintain software development infrastructure across multiple environments
Document technical processes and findings clearly
Identify and resolve security advisories and apply patches
Collaborate in a fast-paced, team-oriented environment
Benefits
Family Medical, Dental, and Vision coverage
Pet Discount Program
Paid Time Off (PTO)
Maternity/Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance
Flexible Work Schedules
Full Job Description
ANS is seeking a Data Scientist to join our team in Annapolis Junction, MD.
Requirements
Active TS/SCI clearance with a Polygraph required
Bachelor's Degree
Experience with quantitative analysis or modeling
Experience with developing requirements and building statistical or simulation models
Experience with scripting or scientific languages and software, including Python, R, MATLAB, @RISK, ARENA, or SAS
Experience with Free Open-Source Software and Commercial Off-The Self Software products in statistics, Monte Carlo or discrete event simulation, extract, transform, and load Extract, Transform, Load processes, and quantitative workflow automation
Experience with working in Linux OS environments
Ability to consult with non-technical audiences on technical problems, work in a highly collaborative, team-oriented environment, and balance long- and short-term tasking
Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
Ability to be flexible, take initiative, and innovate to succeed in an ambiguous and fast-paced environment, composing client deliverable quality documentation, analysis, and reports
Ability to be detail-oriented and organized
Possession of excellent verbal and written communication skills
Experience with system state management tools, such as Ansible for Linux and Desired State Configuration (DSC) for Windows
Experience with source control tools, such as Git
Familiarity with programming languages such as Python
Experience with system scripting languages, such as Bash and PowerShell
Experience with writing technical documentation
Experience with maintaining Elasticsearch or Elastic-stack products
Experience identifying and resolving security advisories and applying vendor patches
Ability to maintain software development infrastructure supporting three environments, including developing, testing, and producing in a fast-paced, highly technical environment
IAT Level II certification preferred
Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance
Supplemental Whole Life Insurance
Lucrative Referral Bonus Program
Annual Allowance for ANS Swag
Potential for Paid Overtime
Flexible Work Schedules
As required by local law, Applied Network Solutions, Inc. provides reasonable salary ranges of compensation for work performed in applicable states. Ranges are not a guarantee of compensation and depend on a variety of factors, including but not limited to contractual requirements, work location, years of experience, skill set, and education. Overtime is not guaranteed for this position. The anticipated pay range for this position is $100,000.00 - $200,000.00 USD.
