A3Data

Data Engineer – Mid-level

A3Data

full-time

Posted on:

Location Type: Remote

Location: Brazil

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Tech Stack

About the role

  • Lead end-to-end Data Science projects using agile methodologies with a focus on delivering business value.
  • Perform exploratory analyses to identify patterns, trends and generate actionable insights to support decision-making.
  • Develop, evaluate and implement statistical, predictive and prescriptive models (supervised and unsupervised).
  • Act in a consultative manner to understand client pain points and needs throughout the project.
  • Present results, analyses and recommendations to technical and non-technical stakeholders with clarity and storytelling.
  • Collaborate actively with the team, sharing knowledge, best practices and new technical approaches.
  • Support internal requests and strategic initiatives when needed.

Requirements

  • Hands-on experience as a Data Scientist in business-applied projects.
  • Proficiency in Python or R and SQL for data analysis and modeling.
  • Strong knowledge of Statistics, Probability and Machine Learning (classification, regression and clustering).
  • Experience across the full Data Science workflow, from discovery to model deployment.
  • Familiarity with code versioning and development best practices.
  • Experience with cloud environments and containerization.
  • Experience deploying models to production and consuming APIs.
Benefits
  • Meal/Food allowance via Swile.
  • SulAmérica health plan: no co-pay and no monthly fee for the employee.
  • Amil dental plan (optional).
  • Guapeco: pet health benefit.
  • TotalPass: access to gyms and wellness services.
  • Bonus and PLR: participation in company results according to performance.
  • Vittude: psychological support and mental health care.
  • Open English: discounts on language courses.
  • Empresa Cidadã: extended maternity and paternity leave.
  • Samsung EPP: exclusive discounts across the Samsung product portfolio.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Data SciencePythonRSQLStatisticsProbabilityMachine Learningclassificationregressionclustering
Soft Skills
leadershipcommunicationcollaborationconsultativestorytellinganalytical thinkingproblem-solvingknowledge sharingadaptabilitybusiness acumen