Why This Role Stands Out
This hybrid role at River Hawk Consulting LLC offers a fantastic opportunity to leverage your data science expertise to drive strategic decisions for federal government clients, with significant potential for career growth and top-tier compensation. You'll thrive here if you're a driven professional eager to tackle challenges, continuously learn, and collaborate within a supportive team environment that values your contributions. Apply now to join a reputable company that prioritizes employee development and offers generous benefits.
Quick Overview
Job Description
About River Hawk
River Hawk is a small business, focused on delivering management and technology consulting capabilities and solutions to the Federal Government. As a small business operating in cleared areas, River Hawk believes in promoting opportunities to drive your own career growth and trajectory. With minimal overhead and surprisingly generous benefits, River Hawk is able to pay at the top of the market. We are constantly looking for seasoned, driven professionals who have the desire to take challenges head on, continue to learn, and serve their clients well.
Job Description
River Hawk is seeking a senior data scientists/analysts to help guide clients with strategic decision making: facilitating the collection and positioning of multiple data sets, identifying the customer's analytic needs, and developing the analytic capabilities and cadence.
Requirements
Experience conveying complex technical topics to management and non-technical audiences
Experience maintaining cooperative working relationships with customers and other employee
(**NOTE** We are interested in hiring individuals with all skill levels - if you meet one of the following criteria we are willing to map out a career progression plan to develop skill sets and consequently increase salary over time)
Experience modeling and documenting complex data/metadata structures, data flows, and models
Experience creating visualizations with Tableau or comparable programs
Demonstrated experience writing and modifying SQL
Demonstrated experience with Apache Hive, Apache Spark, and HDFS or S3
Demonstrated expertise developing software using Neo4j, Python, or Java
Knowledge of development tools such as Git, Jenkins, or Jira Experience/Education Requirements:
5-15 years of experience in a field related to data analysis
Bachelors Degree (Preferred)
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