Data Scientist
OowlishBrazil6 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Join Our Team
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
Sobre a Posição:
Estamos em busca de um(a) Data Scientist para ajudar a transformar dados em insights acionáveis que apoiem decisões de produto, operações e negócio. Nesta função, você trabalhará de perto com equipes multidisciplinares para analisar conjuntos de dados complexos, construir modelos preditivos e desenvolver soluções orientadas por dados que gerem impacto mensurável.
Esta posição é ideal para profissionais que combinam forte pensamento analítico com habilidades técnicas práticas, gostam de resolver problemas ambíguos e conseguem comunicar insights de forma clara tanto para públicos técnicos quanto não técnicos. Você terá um papel fundamental na forma como os dados são utilizados em toda a organização, contribuindo para experimentação, previsões e iniciativas estratégicas.
Principais Responsabilidades:
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.
As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.
We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.
Sobre a Posição:
Estamos em busca de um(a) Data Scientist para ajudar a transformar dados em insights acionáveis que apoiem decisões de produto, operações e negócio. Nesta função, você trabalhará de perto com equipes multidisciplinares para analisar conjuntos de dados complexos, construir modelos preditivos e desenvolver soluções orientadas por dados que gerem impacto mensurável.
Esta posição é ideal para profissionais que combinam forte pensamento analítico com habilidades técnicas práticas, gostam de resolver problemas ambíguos e conseguem comunicar insights de forma clara tanto para públicos técnicos quanto não técnicos. Você terá um papel fundamental na forma como os dados são utilizados em toda a organização, contribuindo para experimentação, previsões e iniciativas estratégicas.
Principais Responsabilidades:
- Analisar grandes e complexos conjuntos de dados para identificar tendências, padrões e oportunidades
- Construir e validar modelos estatísticos, preditivos ou de machine learning
- Projetar experimentos e avaliar resultados para apoiar decisões de negócio
- Colaborar com equipes de produto, engenharia e negócio para definir necessidades de dados
- Traduzir análises em insights claros e recomendações acionáveis
- Criar documentação e visualizações para comunicar resultados de forma eficaz
- Melhorar continuamente modelos, metodologias e fluxos de trabalho de dados
- 3+ anos de experiência em Data Science ou funções de analytics aplicadas
- Forte proficiência em Python e bibliotecas comuns de data science (Pandas, NumPy, Scikit-learn, etc.)
- Sólido entendimento de estatística, probabilidade e modelagem de dados
- Experiência trabalhando com SQL e bancos de dados relacionais
- Capacidade de comunicar insights complexos de forma clara para públicos não técnicos
- Experiência com frameworks de machine learning (TensorFlow, PyTorch, etc.)
- Vivência com plataformas de nuvem (AWS, GCP ou Azure)
- Experiência com frameworks de experimentação (A/B testing)
- Familiaridade com ferramentas de visualização de dados (como Tableau, Power BI, Looker etc.)
- Experiência prévia em startups ou ambientes de ritmo acelerado
Home office;
Competitive compensation based on experience;
Career plans to allow for extensive growth in the company;
International Projects;
Oowlish English Program (Technical and Conversational);
Oowlish Fitness with Total Pass;
Games and Competitions;
You can also apply here:
Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Key Skills
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