Data Scientist

Aquila Consultoria em Gestão

Data Scientist supporting management consultants conduct data analysis and providing strategic decision-making insights. Involves data processing, model development, and collaborative problem-solving with clients.

Posted 4/15/2026full-timeRecife • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLFlaskGoogle Cloud PlatformPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Dental insurance
Meal allowance
Transportation voucher

ATS Keywords

✓ Tailor your resume

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