Data Analytics Specialist - Mid Level

*
* Title:

** Data Analytics Specialist - Mid Level
*** Belong. Connect. Grow. with K !
*** K ’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.
* Innovative Projects: K ’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.
* Collaborative Environment:
Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.
* Impactful Work:
Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.
** This position is contingent upon contract award
***
* Key Responsibilities:

*** Identify new sources of data and methods to improve data collection, analysis, and reporting
* Collect customer requirements
* Determine technical issues
* Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages
* Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data
* Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management, including metadata, lineage, and business definitions
* Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products
* Other duties as assigned
** Qualifications

Required:

*** Active TS/SCI with current polygraph
* Have at least 5 years serving as a Data/Cloud Systems Engineer
* Bachelor’s degree in engineering or related quantitative science field
* Experience using AWS tools (S3, Lambda, EC2, Cloudwatch, etc)
* Experience using Microsoft Azure
* Experience in developing intelligent algorithms capable of learning, analyzing, and predicting future events, turning those algorithms into AI models and systems, and then testing and maintaining them
* Ability to prepare and use large data sets for analysis as part of creating/developing robust data processing systems
* Generate data exploitation algorithms that can learn, assess, analyze, and organize data for testing while optimizing the Machine Learning (ML) to develop high-performance ML models
** Desired

Qualifications:

*** Master’s degree in engineering or related quantitative science field
* 5 years of IC experience
* Experience leading teams resulting in successful verification and test strategies/solutions for complex programs
* Experience with cloud development processes
* Experience with industry system engineering practices
* Strong people skills to influence, collaborate and work effectively with all levels of internal and external leadership

If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at K . Let's shape the future together.
** K  Benefits
** K  offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

Belong, Connect and Grow at KBRBelong, Connect and Grow at K     At K , we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow.

We Deliver – Together.

K  is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national…