Entry Level - Data Science, Artificial Intelligence, Operations Research, Math and Statistics
About The Position
Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following: Data analysis and visualization Augmented decision making and trusted analytics AI architecture, strategy and policy AI-enhanced decision making and insights Generative AI and large language models Machine learning operations Applied math, statistics and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-gen data environments
Requirements
- Must have a Bachelor's, Master's or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program
- Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
- Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS,â¯andâ¯UNIX shell scripting
- Sustained excellence in academic performance
Nice To Haves
- Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position.
- Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods
- Experience with statistical software and data visualization tools such as R, SPSS, SAS,â¯andâ¯UNIX shell scripting
- Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS
- Demonstrated interest in serving the public
Responsibilities
- Data analysis and visualization
- Augmented decision making and trusted analytics
- AI architecture, strategy and policy
- AI-enhanced decision making and insights
- Generative AI and large language models
- Machine learning operations
- Applied math, statistics and optimization
- Simulation and computational analytics
- Systems modeling and analysis
- Operational effectiveness and efficiency
- Knowledge discovery
- Next-gen data environments
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Administrative and Support Services
Number of Employees
5,001-10,000 employees
