Data Scientist
$77.6k - $176kBooz Allen Hamilton
Job Number: R0253322 Data Scientist
The Opportunity: 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 artifi cia l 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 to help create real-world impact. 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 work with and learn from your teammates as you develop algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can 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. You Have:
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
The Opportunity: 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 artifi cia l 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 to help create real-world impact. 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 work with and learn from your teammates as you develop algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can 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. You Have:
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- Experience with statistical and general-purpose programming languages for data analysis
- Knowledge of machine learning, AI, or Natural Language Processing
- Ability to gather requirements from customers
- Ability to develop predictive data models, quantitative analyses, and visualization of targeted data sources
- Ability to deploy natural language processing, text mining, or machine learning techniques
- Ability to obtain a Secret clearance
- Bachelor's degree
- Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
- Experience with Palantir Foundry Maven Smart System
- Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Experience with War Data Platform ( WDP ) or Advana
- Experience with Databricks
- TS/SCI clearance
- Master's degree
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
- Remote : If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
- Hybrid : If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite : If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Vacancy posted 2 days ago
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