Aquila Consultoria em Gestão

Data Scientist

Aquila Consultoria em Gestão

full-time

Posted on:

Location Type: Hybrid

Location: Recife • Brazil

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Tech Stack

AWSAzureCloudETLFlaskGoogle Cloud PlatformPythonScikit-LearnSparkSQL

About the role

  • Support the team of management consultants in conducting data analyses, contributing to scenario diagnostics, identifying opportunities, and supporting strategic decision-making.
  • Collect, clean, and preprocess data from multiple sources (internal and external), ensuring data quality, consistency, and integrity.
  • Develop, test, and validate analytical models, including predictive and prescriptive approaches, with a focus on delivering business value.
  • Translate analytical results into actionable insights through the preparation of clear, concise, and visually appealing reports and presentations.
  • Participate in client meetings to gather requirements, understand business problems, and present data-driven solutions.
  • Collaborate effectively within multidisciplinary teams, maintaining clear communication with both technical and non-technical stakeholders.

Requirements

  • Bachelor’s degree in Business Administration, Economics, Engineering, Statistics, or related fields.
  • Postgraduate degree or specialization in Data Science, Data Analytics, or related areas.
  • Hands-on experience in Machine Learning projects applied to real-world problems.
  • Proficiency in Python for data analysis, statistical modeling, and solution development.
  • Knowledge of SQL for extracting, manipulating, and analyzing data in relational databases.
  • Familiarity with modern data environments, including distributed processing tools (e.g., Spark) and cloud platforms (AWS, Azure, or GCP).
  • Availability to work in a hybrid model and for occasional travel.
  • Strong command of Python for developing data pipelines and analytical models.
  • Experience with Machine Learning libraries (e.g., scikit-learn, statsmodels, or similar).
  • Experience with anomaly detection techniques and/or time series modeling.
  • Experience with SQL and relational databases.
  • Experience deploying models, either via APIs (FastAPI, Flask) or batch pipelines.
  • Experience integrating with APIs and ingesting external data.
  • Experience building and maintaining data pipelines (ETL/ELT).
  • Knowledge of geospatial data analysis or urban data.
  • Experience with process automation and applications involving Generative AI (LLMs).
  • Practice monitoring models in production, including drift detection and re-training strategies.
Benefits
  • Health insurance
  • Dental insurance
  • Meal allowance
  • Transportation voucher
Applicant Tracking System Keywords

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

Hard Skills & Tools
data analysispredictive modelingprescriptive modelingPythonSQLMachine Learninganomaly detectiontime series modelingETLdata pipeline development
Soft Skills
communicationcollaborationproblem-solvingpresentation skillsanalytical thinking
Certifications
Bachelor's degreePostgraduate degree in Data SciencePostgraduate degree in Data Analytics