Location: Rome,NY, USA
Your growth matters to us - explore our career development opportunities.A PLACE WHERE YOU BELONG Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING Learn how we'll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY Discover what to expect during your journey as a candidate with us.Are you excited at the prospect of unlocking the secrets hidden within complex data? Are you fascinated by the possibilities presented by advances in artificial 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 artificial 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 artificial intelligence.You Have:2+ years of experience applying data science techniques and machine learning algorithms and methodologies to solve real-world problemsExperience implementing data analysis within programming languages such as Python or R, including deep learning libraries such as TensorFlow or PyTorchExperience analyzing complex data sets using data analysis and visualization software such as Tableau or Microsoft Power BIAbility to explain complex technical concepts to experienced and non-experienced groupsAbility to learn and apply unfamiliar software quickly and independentlyAbility to obtain a Secret clearanceBachelor's degree in Physics, Material Science, EE, Mathematics, Information Science, Data Science, or CSNice If You Have:5+ years of experience developing and implementing data science and machine learning applications or toolsKnowledge of LLMs built around transformer architecturesKnowledge of current research in Deep Learning for Natural Language ProcessingKnowledge of different software development approaches, including DevSecOps and AIOpsMaster'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 plusIT Security Certification such as CompTIA Security+ CertificationClearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.CompensationAt 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.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). This posting will close within 90 days from the Posting Date.Work ModelOur 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 CommitmentWe'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.#J-18808-Ljbffr