Data Scientist – Data Science

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🕒 Março 24

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

🗣️🇫🇷 Francês obrigatório

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Datmos

Datmos

51 - 200 funcionários

Fundada em 2006

🛍️ Comércio Eletrônico

🤝 B2B

🏢 Corporativo

eCommerce • B2B • Enterprise

A Datmos é uma consultoria de comércio digital e agência de implementação formada pela fusão da O2 Commerce e ZaneRay. A empresa oferece estratégias de eCommerce de ponta a ponta, seleção e avaliação de plataformas, implementação tecnológica (soluções de plataforma, integrações de sistemas, comércio componível/microsserviços, PIM) e serviços de design/UX (UX/UI, personalização, mobile/PWA, e-mail e automação de marketing). A Datmos foca em transformações de comércio B2B e B2C em escala empresarial, ajudando os clientes a otimizar a informação de produtos, experiência do cliente e análises operacionais.

Descrição

• Collect, clean, preprocess and validate structured and unstructured data from various sources. • Improve data pipelines and collection methods to ensure completeness and relevance for modeling. • Perform exploratory data analysis to uncover trends, anomalies and insights. • Design, train and optimize machine learning models such as classification, regression and clustering models. • Carry out feature selection and engineering to improve model performance. • Develop predictive systems and deploy algorithms in collaboration with engineering teams. • Present analytical results using clear visualizations and narratives tailored to business needs. • Partner with business stakeholders to understand challenges and propose data-driven solutions. • Collaborate cross-functionally with commercial, IT and data engineering teams to operationalize insights.

🎯 Requisitos

• Minimum of 5 years’ experience as a Data Scientist or in data/AI management within a technology-focused or IT-specialized company. • Practical experience with an NCP server (Network Control Protocol or related network server technologies). • Proven proficiency in Python and SQL for data manipulation, modeling and automation in an enterprise IT environment. • Strong experience with modern data visualization tools such as Quicksight, Metabase, Looker or equivalents, ideally in cloud or SaaS environments. • Deep understanding of machine learning and statistical modeling, including regression, Bayesian methods, time-series forecasting and causal inference. • Direct experience with cloud data warehouses such as Snowflake and/or BigQuery, preferably within scalable, technology-driven infrastructures. • Ability to translate business and technical needs into clear, data-driven analyses and scalable solutions, particularly in a software, IT or digital context. • Experience collaborating with multidisciplinary teams in Agile or DevOps environments (e.g., developers, product managers, data engineers). • Bilingualism: proficiency in English and French, both spoken and written, as the role involves communications with clients and stakeholders in both languages (French is an asset).

🏖️ Benefícios

• Access to employer-partially funded group benefits (coverage for you and your family). • Vacation and floating holidays to rest. • Right-to-disconnect policy to support work–life balance. • Flexibility in work location and hours (offices in the United States and Canada). • Recognition program in the form of gift cards or donations to charities. • Full access to certifications of your choice and paid time to train.

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