Data Visualization Analyst

All Native GroupWashington, DC
Onsite

About The Position

The Data Scientist is responsible for analyzing large amounts of raw information to find patterns that will help improve decision making in the organization. This requires a highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Requirements

  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Excellent oral and written communication skills, strong customer service skills, keen attention to detail, flexibility in adapting to changing environment, timely follow-through, and a commitment to learning new skills are required.
  • Strong problem-solving and critical thinking skills and the willingness to be proactive and take initiative are required.
  • The ability to build and use effective working relationships and to work independently as an effective team player are required.
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • 7-10yrs of proven experience as a Data Scientist or Data Analyst
  • Bachelor's degree in a technology discipline or related field or equivalent work experience directly within functional area
  • Must possess a Public Trust.

Nice To Haves

  • familiarity with Scala, Java or C++ is an asset

Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams
  • The analyze and identify trends to allow the organization to make decisions based on the data
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