Data Scientist Level 4

DigiFlight, Inc.

Maryland

On-site

USD 140,000 - 190,000

Full time

6 days ago

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Benefits offered by this job

Health, Dental, Vision

Paid Time Off (PTO)

11 paid holidays

Tuition Education Assistance

Professional Development

401(k) retirement plan

Life insurance and disability

Employee Referral Program

Marketing Incentive Plans

Job summary

DigiFlight, based near Fort Meade, MD, is seeking a Level 4 Data Scientist to join a team tackling highly sensitive datasets. The role requires an active Top-Secret/SCI with FSP Poly clearance and a deep background in machine learning, statistics, and data science, with experience in data management, modeling, and reproducibility.

You will translate mission-relevant analytic questions into technical requirements, apply quantitative methods, and communicate complex results to non-technical

Qualifications

Bachelor's degree with extensive relevant experience in data science and ML.
Strong programming and data analysis skills across multiple domains.
Ability to design/implement ML and data-analytic algorithms for large datasets.

Skills

Machine learning

Python

Statistics

Data science

Data mining

Algorithms

Probability

Data visualization

Programming (C)

Education

Bachelor's degree in Mathematics/Applied Math/Statistics/CS

15+ years relevant experience

Certificate in Data Science (optional)

Job description

Fort Mead, MD

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:

Active Top-Secret SCI with FSP Poly

Description:

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

Foundations: (Mathematical, Computational, Statistical)
Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) to 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 with drawing 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.

The Level 4 Data Scientist shall possess the following capabilities:

Qualifications:

(U) A Bachelor's degree and 15 years of relevant experience. An Associate's degree plus 17 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
(U) Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., 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, and life) may be considered if it includes a concentration of coursework (typically 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 Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count.
(U) Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
(U) 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) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support single or multiple domain areas, ability to quickly acquire needed expertise on a new application in a new domain area, and/or software engineering. Experience in more than five areas 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