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Data Scientist – multiple levels - Texas
Constellation Technologies, Inc
San Antonio, TX
View more jobs at Constellation Technologies, Inc
About us: Mission Driven, Employee Focused
 
At CTI, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
 
If you’re a technical changemaker with a passion for Cyber Operations, Cloud and Data Analytics, or Engineering, we’re looking for you! Love what you do AND where you work - alongside a supportive, innovative team of like-minded individuals. After all, we know that your best work happens when you live your best life, and we do everything we can to make that possible. Are you ready for your best career move? Intel Agency polygraph is strongly preferred.

Due to Federal contract requirements, US citizenship and a TS/SCI security clearance is required for this position.

Description:
CTI is seeking an experienced TS/SCI polygraph cleared Data Scientist to join our team.
 
The day-to-day:
As a Data Scientist you will utilize experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high level language (e.g. Python), statistical analysis, 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.
 
The qualifications (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:
o   Level 04 requires a minimum seventeen (17) years of experience w/ Degree
o   Level 03 requires a minimum twelve (12) years of experience w/ Degree
o   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:
o   Foundations (Mathematical, Computational, Statistical)
o   Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility)
o   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.
 
The nice-to-haves (desired, not required):
·         Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity.
·         Analytics in GME, Jupyter notebooks, and Spark.
The 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)

The environment and perks:

• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, 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
• Unlimited 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 or potentially unlisted 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 cti-staffing@cti-md.com 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 cti-hr@cti-md.com.
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