Booz Allen is looking for a data scientist to help turn complex data sets into useful information to solve global challenges, particularly within the DoD space, by leveraging IoT, machine learning, and artificial intelligence.
Requirements
- Experience in complex mathematical modeling such as AI/ML, simulations, or data mining
- Experience working in academic STEM research areas, and working with impactful industry-oriented data science and quantitative analysis or modeling
- Experience with mathematics such as linear algebra, vector calculus, and optimization
- Experience utilizing Python for mathematical modeling and data work leveraging standard libraries such as NumPy, pandas, Matplotlib, and scikit-learn
- Experience working with code as a programmer
- Ability to break down complex problems into tractable programmatic and mathematical pieces that can be effectively solved in an organized and efficient manner
- Experience with distributed data and computing tools such as Spark, MapReduce, and Hadoop
Responsibilities
- As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
- You’ll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle.
- You’ll play a key role in the development of algorithms and systems.
- You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions.
- Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
- The DoD space is looking for individuals with exceptional mathematical modeling backgrounds who have done outstanding work utilizing highly quantitative techniques characteristic of disciplines such as physics and the hard sciences.
- Moreover, we work on problem sets more broadly that involve Generative AI, autonomy, and R&D so you will be exposed to a wide variety of modeling aspects.
Other
- Ability to obtain a Secret clearance
- Master’s degree in a Science, Technology, Engineering, Mathematics, Physics, Statistics, or CS field
- Experience solving optimization problems from an operations research perspective such as linear or nonlinear programming and constraint programming
- Experience with parallel computing techniques such as multithreading or multiprocessing for producing highly efficient code
- Experience writing production-level code for maximum efficiency, speed, and reliability
