Data Scientist, Junior

Booz Allen Hamilton•San Diego, CA

About The Position

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 (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

Experience with statistical and general-purpose programming languages such as R, Perl, Python, SAS, or SPSS, for data analysis
Experience with data exploration, data mining, data cleaning, data analysis, data visualization, machine learning, statistics, graph algorithms, or AI
Knowledge of machine learning, AI, or Natural Language Processing (NLP)
Knowledge of text mining or machine learning techniques
Ability to leverage expertise in data gathering and analytical work
Ability to analyze structured and unstructured data sources
Ability to develop predictive data models, quantitative analyses, and visualizations of targeted data sources
Ability to obtain a Secret clearance
Bachelor's degree

Nice To Haves

2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
2+ years of experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with machine learning, AI, or NLP
Experience with Palantir Foundry
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Experience with Business Intelligence (BI) or data visualization tools such as Power BI, Tableau, or Qlik
Secret clearance
Bachelor's degree in an Analytical or Engineering field such as CS, Data Science, Computer Engineering, or Systems Engineering, preferred
Master's degree in an Analytical or Engineering field such as CS, Data Science, Business Analytics, Computer Engineering, or Systems Engineering, a plus

Responsibilities

Develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.