Data Privacy
Advanced Data Scientist
Data Privacy, Air City, New York, United States,
Booz Allen Hamilton offers an exciting opportunity for an experienced data scientist passionate about artificial intelligence and machine learning. You will work with a diverse team to meet client needs and solve complex problems, advancing the state-of-the-art in AI. This role involves mentoring, designing and running experiments, and evaluating complex data.In this role you can expect to have the responsibilities:
Apply data science techniques and machine learning algorithms to real-world problems.Implement data analysis using programming languages like Python or R and libraries such as TensorFlow or PyTorch.Analyze complex data sets with tools like Tableau or Microsoft Power BI.Explain technical concepts to both experienced and non-experienced groups.Learn and apply unfamiliar software independently.This role comes with the following benefits:
Health, life, disability, financial, and retirement benefits.Paid leave and professional development.Tuition assistance and work-life programs.Dependent care and recognition awards for performance.This role requires you to have:
2+ years of experience with data science and machine learning.Knowledge of programming languages like Python or R.Experience with deep learning libraries such as TensorFlow or PyTorch.Data analysis and visualization skills using tools like Tableau or Microsoft Power BI.Ability to explain complex technical concepts to various groups.Bachelor's degree in relevant fields such as Physics or Data Science.Ability to obtain a Secret security clearance.You would benefit from having:
5+ years of experience in data science and machine learning.Knowledge of Large Language Models (LLMs) and transformer architectures.Understanding of deep learning for natural language processing.Familiarity with software development approaches like DevSecOps and AIOps.Advanced degrees in relevant fields.IT Security Certification such as CompTIA Security+.Selected applicants must meet eligibility requirements for access to classified information. Booz Allen Hamilton is committed to equal employment opportunities, empowering people regardless of race, color, religion, sex, national origin, disability, veteran status, or any other protected status.
#J-18808-Ljbffr
Apply data science techniques and machine learning algorithms to real-world problems.Implement data analysis using programming languages like Python or R and libraries such as TensorFlow or PyTorch.Analyze complex data sets with tools like Tableau or Microsoft Power BI.Explain technical concepts to both experienced and non-experienced groups.Learn and apply unfamiliar software independently.This role comes with the following benefits:
Health, life, disability, financial, and retirement benefits.Paid leave and professional development.Tuition assistance and work-life programs.Dependent care and recognition awards for performance.This role requires you to have:
2+ years of experience with data science and machine learning.Knowledge of programming languages like Python or R.Experience with deep learning libraries such as TensorFlow or PyTorch.Data analysis and visualization skills using tools like Tableau or Microsoft Power BI.Ability to explain complex technical concepts to various groups.Bachelor's degree in relevant fields such as Physics or Data Science.Ability to obtain a Secret security clearance.You would benefit from having:
5+ years of experience in data science and machine learning.Knowledge of Large Language Models (LLMs) and transformer architectures.Understanding of deep learning for natural language processing.Familiarity with software development approaches like DevSecOps and AIOps.Advanced degrees in relevant fields.IT Security Certification such as CompTIA Security+.Selected applicants must meet eligibility requirements for access to classified information. Booz Allen Hamilton is committed to equal employment opportunities, empowering people regardless of race, color, religion, sex, national origin, disability, veteran status, or any other protected status.
#J-18808-Ljbffr