Data Scientist

🕒 Abril 1

🇨🇷 Costa Rica – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

👻 Score fantasma 69%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Driven Technologies

SiteLinkedInTodas as Vagas

1 - 10 funcionários

🚘 Automotivo

🏭 Manufatura

🔧 Hardware

Automotive • Manufacturing • Hardware

Sistema de tração de última geração para e-bikes. Esqueça as correntes e câmbios, este é o futuro.

Descrição

• An expert in quantitive analysis, data mining, and the presentation of data beyond the numbers that understands how users interact with both consumer and business products • Able to partner with Product and Engineering teams to solve problems and identify trends and opportunities • Inform, influence, support and execute product decisions and product launches • Critical thinker with strong communication skills • Reliable, self-motivated, shows initiative • Able to work well within a team and independently • Product Operations and designing and evaluating experiments • Monitoring key product metrics, understanding root causes of changes in metrics • Building and analyzing dashboards and reports • Building key data sets to empower operational and exploratory analysis • Evaluating and defining metrics • Exploratory analysis • Proposing what to build in the next roadmap • Understanding ecosystems, user behaviors, and long-term trends • Identifying new levers to help move key metrics • Building models of user behaviors for analysis or to power production systems • Influencing product teams through presentation of data-based recommendations • Communicating state of business experiment results, etc to product teams • Spreading best practices to analytics and product teams • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica • Automating analyses and authoring pipeline via SQL and Python-based framework

🎯 Requisitos

• Masters Degree in computer Science, Engineering, Operations Research, Econometrics, Statistics or related technical field • Experience solving analytical problems using quantitative approaches • Experience communicating quantitive analysts results • Knowledge with relational databases and SQL • Development experience in any scripting language (OPHO, Python, Perl, etc.) • Knowledge of statistics (e.g. hypothesis testing, regression) • Experience manipulating data sets through statistical software (ex. R. SAS) or other methods • Experience working with distributed computing tools (Map Reduce, Hadoop, Hive, etc) is a plus • Excellent communication and presentation skills