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Cleared Data Scientist (3236) with Security Clearance
SMX Washington, DC
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$110k-135k (estimate)
Full Time 1 Week Ago
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SMX is Hiring a Cleared Data Scientist (3236) with Security Clearance Near Washington, DC

SMX is seeking creative technical Data Scientist who can design and develop solutions with our clients. We are looking for someone who has hands-on experience with using data science skills and technologies. This person will be closely collaborating with other data analytics professionals to produce creative solutions that involve data pipelines, data models, and data visualizations. This is a hybrid position with on-site work performed at a client's office located in Washington, D.C. or Chantilly, VA as needed. Top Secret clearance required. Essential Duties and Responsibilities: * Use your firm understanding of the math underlying ML model training and prediction in order to develop models and improve them * Formulate and complete end-to-end projects that include data gathering, analysis, modeling, and ongoing scaled deliverables and presentations * Structure/preprocess datasets to find usable information and to prepare for modeling * Review and collaborate on recommendations and designs with other subject matter experts * Take ownership of solutions, assignments, actions items and issues, and remain accountable for their completion * Maintain solutions as business requirements evolve and upstream system changes are implemented * Produce high-quality, well-written technical documentation * Work effectively within a delivery-centric professional services team * Collaborate with cross-functional stakeholders to understand their business need * Provide transparent and regular status updates in requested format * Work in a fast-paced Agile environment with fluid requirements and changing priorities. Required Skills: * Hands-on experience with development and implementation of ML models * Firm understanding of linear regression and regression/classification trees * Basic math/statistics fluency * Experience with a general-purpose programming language (e.g. Python) * Understanding of techniques to avoid overfitting ML models * Skilled in data manipulation/analysis * Excellent collaboration skills * Experience with AWS/Apache Airflow/Git a plus Required Experience: * BA/BS or MA/MS degree in quantitative field or with strong emphasis on quantitative coursework (e.g., Statistics, Computer Science, Engineering, Mathematics) * 2 years of hands-on experience with development and implementation of ML mode * Active Secret clearance with the ability to obtain a Top-Secret clearance **This position requires two days a week on site at customer location in Washington DC or Chantilly, Virginia, the rest of the week can be remote (there is some flexibility)** #LI-Hybrid
#cjpost At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. SMX is an Equal Opportunity/Affirmative Action employer including disability and veterans. Selected applicant will be subject to a background investigation.

Job Summary

JOB TYPE

Full Time

SALARY

$110k-135k (estimate)

POST DATE

05/04/2024

EXPIRATION DATE

05/20/2024

WEBSITE

smx.biz

SIZE

<25

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