Mid-Level Data Scientist

Posted Oct 26

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and sustain statistical and Machine Learning models tailored to address business challenges.

• Aid in deriving insights and creating impactful analytical solutions.

• Operate independently throughout the complete data science lifecycle, from exploration to deployment.

• Collaborate with diverse teams across multiple disciplines.

• Facilitate operational and tactical decision-making using both structured and unstructured data.

• Create, train, and validate predictive and descriptive models.

• Utilize statistical and Machine Learning methodologies to uncover patterns and trends pertinent to the business.

• Convert business requirements and issues into clear and objective analytical inquiries.

• Suggest technical strategies and autonomously execute solutions.

• Assist Data Engineering in organizing, transforming, and cleansing data.

• Maintain documentation for the model lifecycle, including logic, assumptions, versions, parameters, and validation outcomes.

• Oversee the performance and precision of deployed models, recognizing when adjustments or retraining is necessary.

• Create dashboards and data visualizations.

• Establish and monitor performance metrics for analytical solutions.

• Work alongside business, engineering, and product teams.

• Update leadership on project progress, outcomes, and obstacles.

• Engage in internal and external audits, ensuring adherence to corporate policies, regulatory standards, and information security protocols.


⛳️ Requirements

• Proven experience as a Data Scientist.

• A Bachelor’s degree in mathematics, statistics, engineering, or information technology.

• Hands-on experience with Python in the context of data science.

• Familiarity with Machine Learning libraries and frameworks.

• Understanding of Generative AI project development, including LLMs and agents.

• Professional training or formal education in Data-related disciplines.

• Preference for candidates with experience in the logistics and transportation industries.


🏝️ Benefits

• This position welcomes candidates with disabilities.

• Opportunity for remote work.

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