Data Scientist 2

3 semanas atrás

São Paulo, São Paulo, Brasil Hyland Tempo inteiro
Overview

The Data Scientist Level 2 is responsible for understanding business needs and goals and leveraging statistical methods and tools in order to interpret data and extract insights that support decision-making.

What you will be doing
  • Collaborate and perform moderate to complex analytical experiments. Analyze data for trends and patterns, and interpret data with clear objectives in mind.
  • Work closely with the engineering team in the development of data deliverables for business consumption.
  • Adhere to, and enhance, data visualization best practices.
  • Collect, analyze, manipulate and aggregate data for analysis from various data sources.
  • Develop and utilize basic to moderate algorithms and models to perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
  • Report on findings and make recommendations; summarize analyses into clear, concise and effective presentations. Provide training and guidance on how to interpret and apply data.
  • Assist with special projects, as assigned.
  • Perform data integrity audits.
  • Develop, document, and track metrics and/or dashboards.
What will make you successful
  • Fluent in English
  • Bachelor's degree or equivalent experience
  • Minimum 2 Years Experience as a Data Scientist / Statistician
  • Demonstrated success in performing analyses
  • Good oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact
  • Good organizational, multi-tasking, and time management skills
  • Good collaboration and interpersonal skills, able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
  • Good Microsoft Excel skills
  • Good facilitation and project management skill
  • Good data gathering, interviewing, and analytical/problem solving skills
  • Good critical thinking and problem solving skills
  • Good understanding of relational, NoSQL, big data, and graph databases
  • Advanced understanding of statistics and modeling approaches
  • Advanced understanding of chart selection and finer details of readability, interpretation, and presentation
  • Ability to use original thinking to translate goals into the implementation new ideas and design solutions
  • Self-motivated with the ability to manage projects to completion with oversight
  • Demonstrated ability to influence, motivate and mobilize team members and business partners
  • Good ability to develop and use engaging, informative and compelling presentation methodologies
  • Good knowledge of systems administration
  • Good knowledge of Linux, Microsoft and/or Unix Operating systems
  • Up to 5% travel time required
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