$80K — $100K *
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 — you know the answers are in the data.
You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help military leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the defense industry.
Empower change with us.
-2+ years of experience with performing data analysis and statistical modeling, including collecting and analyzing data and providing recommendations using dashboards, visualizations, or reports for QlikSense, Tableau, or BI Platforms
-Experience with using SQL to develop ETL pipelines and data manipulation scripts
-Experience with modern relational databases, including MySQL or PostgreSQL
-Experience with overseeing the gathering of requirements and identification of appropriate data sources to address the specific requirements of projects for monitoring, characterization, analysis, and modeling
-BA or BS degree
Nice If You Have:
-Experience with Python, R, VBA, or a similar language
-Experience with facilitating BI tool training
-Experience with using DoD data management to manipulate and integrate databases using SQL, SAS, or other languages
-Experience with building robust analytical models, including forecasts, cost models, and historical trend analyses
-Experience with briefing senior leadership
-Knowledge of Big Data systems, including Hadoop, HDFS, Hive, or Cloudera
-Knowledge of project management and Scrum Agile development
Valid through: 11/10/2020