Data Scientist

Amivero,

About The Position

The Amivero Team Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.

Requirements

  • 3+ years of hands-on experience in data science for a SaaS company or a mature startup
  • 5+ years of experience in data analytics or related
  • BS/MS in Data Science or a related quantitative or scientific field
  • Experience with SQL & the Python ML ecosystem - pandas, numpy, sklearn, etc.
  • Experience with Time Series Prediction models & one or more deep learning libraries
  • Experience ingesting, processing, and visualizing data sources of varying types - structured/relational and unstructured
  • Experience in developing, managing, and manipulating large, complex datasets
  • Data-driven, detail-oriented individual with excellent storytelling and problem-solving abilities
  • Ability to work independently and autonomously, as well as part of a team
  • Superb time management, prioritization of tasks and ability to meet deadlines with little supervision

Responsibilities

  • Partner with leadership and stakeholders to develop our data science function
  • Design experiments, test hypotheses, and build data models
  • Work with data team to identify and analyze patterns
  • Design and lead implementation of analytics pipelines and visualization
  • Recommend and test new analytics algorithms and models
  • Educate the organization on new analytical approaches to drive business decisions
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