Data Scientist Level 2

DigiFlight, Inc.; Columbia (MD); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

PTO

11 holidays

Tuition assistance

Professional development

401(k) retirement plan

Life insurance

Disability insurance

Employee referral program

Marketing incentive plans

Job summary

DigiFlight, Inc. in Fort Meade is seeking a Data Scientist Level 2 with TS/SCI Fullscope Poly to join a mission-focused team.

You will develop and apply ML, data science, and AI methods to extract actionable insights from large, sensitive datasets and communicate results to non-technical stakeholders. The role requires strong programming skills (e.g., Python), experience with statistical analysis, data management, and data modeling.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field with relevant experience.
• 3+ years of data science, ML, or analytics experience.
• Experience with Python and statistical methods.

Responsibilities

• Develop ML models and analytics to support mission-critical datasets.
• Communicate results with principled recommendations to non-technical audiences.
• Collaborate with cross-functional teams to define analytic requirements.

Skills

Machine Learning

Data Science

Python

Statistics

Data Visualization

Education

Bachelor’s Degree in Mathematics

Bachelor’s Degree in Computer Science

Data Science Certificate

Tools

Python

Job description

Data Scientist Level 2- TS/SCI Fullscope PolyFort Meade

Join an outstanding team that offers exciting job opportunities with the goal of providing the absolute best support to our customers. Here at DigiFlight we embrace integrity, innovative solutions, put our customers first and offer a highly competitive benefits package!

Role description:

Data Scientist Level 2:

Description: Employ some combination (2 or more) of the following skill areas:

I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow, and reproducibility)

• Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in withdrawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSA/CSS collection, processing, storage, and analytic capabilities and limitations.

Education: Bachelor’s Degree with 3 years of relevant experience. Associate’s degree with 5 years of relevant experience. Bachelor\'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements or upper-level math courses designated as elementary or basic do not count.

Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

Relevant Experience: Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

Our People

DigiFlight attracts the most highly skilled workforce to protect some of our nation’s most sensitive systems. Before joining the company, many DigiFlight professionals served our country in a civilian and/or military capacity. Our diverse team provides innovative solutions as they support critical clients in tackling tough challenges. Most importantly, our team is passionate about their work and making a difference.

Our corporate culture promotes a healthy work/life balance.

Our Benefits

DigiFlight’s competitive benefits package allows employees to manage their personal and professional portfolios through a variety of features and programs. Our benefits include:

• Health, Dental, Vision, and Flexible Spending Account
• Paid Time Off (PTO)
• 11 paid holidays
• Tuition Education Assistance
• Professional Development
• 401(k) retirement plan
• Life insurance and short- and long-term disability insurance
• Employee Referral Program
• Marketing Incentive Plans

DFI offers a highly competitive, family-oriented benefits package.