Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Constellation Technologies, Inc; Augusta (GA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Affordable healthcare options

Dental insurance

401(k) with company match

Job summary

A technology services provider in Augusta, Georgia seeks candidates for a data science role requiring U.S. citizenship and an active TS/SCI clearance. The ideal applicant will possess a degree in Mathematics or similar fields, and experience in machine learning and statistical analysis. Responsibilities include analyzing large datasets and translating complex data insights for various stakeholders. The position offers a robust benefits package and opportunities for professional development.

Qualifications

• Must be a US Citizen.
• Must have TS/SCI clearance with active polygraph.
• Relevant experience in machine learning and data science required for at least 5 years.

Responsibilities

• Develop and implement methods for analyzing large datasets.
• Communicate complex data insights to non-technical audiences.
• Translate business needs into technical data requirements.

Skills

US Citizenship

TS/SCI clearance with active polygraph

Advanced data processing

Machine Learning expertise

Statistical analysis

Education

Degree in Mathematics or related fields

Tools

Python

Job description

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark.

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

https://jobs.lever.co/cti-md/9501b47e-aaa9-4b02-a0f4-ceb6b959f201

Required

• Must be a US Citizen
• Must have TS/SCI clearance w/ active polygraph
• This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for:
• Level 04 requires a minimum seventeen (17) years of experience w/ Degree
• Level 03 requires a minimum twelve (12) years of experience w/ Degree
• Level 02 requires a minimum five (05) years of experience w/ Degree
• Degree 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
• 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
• Employ some combination (2 or more) of the following 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)
• 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 to Agency 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 Agency collection, processing, storage and analytic capabilities and limitations

Nice to Have Qualifications

• Fully Cleared polygraph is preferred
• Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity
• Analytics in GME, Jupyter notebooks, and Spark

Benefits Package

• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
• Dental insurance with 100% employer paid premium
• Vision with 80% employer paid premium
• Employer paid Life insurance 100%
• Employer paid Short-term and Long-term disability 100%
• Annual training, continued education, and professional memberships reimbursement
• Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation
• Annual reimbursement for technology i.e. phones, computers, printers, etc..
• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)

Environment and Perks

• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii
• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
• Leadership Team engagement and mentorship
• Performance Recognition Program
• Complimentary branded apparel

Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities.

Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000! Email [e-mail] for more information.

Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI’s equal employment opportunity policy to [e-mail].

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.