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Advanced Data Scientist with Security Clearance

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Booz Allen Hamilton 172000.00 US Dollar . USD Per annum

2024-09-30 00:44:37

Job location Rome, New York, United States

Job type: fulltime

Job industry: I.T. & Communications

Job description

Job Number: R Advanced Data Scientist
The Opportunity: Are you excited at the prospect of unlocking the secrets hidden within complex data? Are you fascinated by the possibilities presented by advances in artifi cia l intelligence and machine learning? We have an opportunity for you to apply your experience in deep learning frameworks, natural language processing, and Large Language Models ( LLMs ) for the DoD. As an advanced data scientist in Booz Allen's Chief Data Office, you'll work closely with a diverse team of professionals to understand client needs and solve complex problems through the application of artifi cia l intelligence. You'll mentor and learn from teammates, design and run advanced experiments, and evaluate multifaceted data. Join us as we advance the state-of-the-art in artifi cia l intelligence. Join us. The world can't wait. You Have: 2+ years of experience applying data science te chn iques and machine learning algorithms and methodologies to solve real world problems
Experience implementing data analysis within programing languages such as Python or R, including deep learning libraries such as TensorFlow or PyTorch
Experience analyzing complex data sets using data analysis and visualization sof tware such as Tableau or Microsoft Power BI
Ability to explain complex te chn ical concepts to experience and non-experience groups
Ability to learn and apply unfamiliar sof tware quickly and independently
Ability to obtain a Secret clearance Bachelor's degree in Physics, Material Science, EE, Mathematics, Information Science, Data Science, or CS Nice If You Have: 5+ years of experience developing and implementing data science and machine learning applications or tools
Knowledge of LLMs built around transformer architectures
Knowledge of current research in Deep Learning for Natural Language Processing
Knowledge of different sof tware development approaches, including DevSecOps and AIOps
Master's degree in Physics, Material Science, EE, Mathematics, Information Science, Data Science, or CS preferred; Doctorate degree in Physics, Material Science, EE, Mathematics, Information Science, Data Science, or CS a plus
IT Security Certification such as CompTIA Security+ Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information . Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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