
Data Engineer – Mid-level
A3Data
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
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