Data Scientist

Booz Allen Hamilton•Tampa, FL

27d•$99,000 - $225,000

About The Position

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 artificial intelligence. 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 leadership skills and data science expertise to 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 guide teammates and lead 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. Work with us as we use data science for good. Join us. The world can’t wait.

Requirements

5+ years of experience with programming languages, including Python, C++, Java, or R
Experience working with structured, unstructured, or semi-structured data and conducting analysis
Experience with data wrangling techniques to cleanse data for data science applications
Experience building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement
Experience designing and executing machine learning models and applications
Knowledge of the software development life cycle, testing, and version control
TS/SCI clearance
Bachelor's degree

Nice To Haves

Experience with distributed programming languages, including Spark or Scala
Experience with data orchestration tools, including Airflow
Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets
Experience with business intelligence tools, including Tableau or Qlik
Experience with data lakes, data warehouses, or data lake houses
Experience with cloud services such as AWS, Azure, or Google Cloud
Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
Experience with Agile development
Experience with CI/CD, including Git, Jenkins, and Docker
Ability to quickly learn new skill sets to solve challenging problems