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Data Scientist
Aquila Consultoria em Gestão. Support the management consulting team in conducting data analyses.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, predictive modeling, and machine learning, with a strong ability to translate complex data into actionable insights. Proficient in Python and SQL, with experience in developing data pipelines and collaborating with multidisciplinary teams.
Highest-signal resume keywords
Python ProficiencyMachine Learning ExperienceSQL KnowledgeData Pipeline DevelopmentPredictive Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical ModelingPredictive ModelingAnomaly DetectionTime Series ModelingData CleaningData PreprocessingMachine Learning LibrariesAPI IntegrationETL/ELT
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
SparkAWSAzureGCPFastAPIFlask
Industry Keywords
Data ScienceData AnalyticsBusiness AdministrationEconomicsEngineeringStatistics
Tech Stack
Tools & technologiesAWSAzureCloudETLFlaskGoogle Cloud PlatformPythonScikit-LearnSparkSQL
About the role
Key responsibilities & impact- Support the management consulting team in conducting data analyses.
- Contribute to scenario assessment, opportunity identification, and strategic decision-making.
- Collect, clean, and preprocess data from multiple sources.
- Ensure the quality, consistency, and integrity of information.
- Develop, test, and validate predictive and prescriptive analytical models.
- Translate analytical results into actionable insights through reports and presentations.
- Participate in client meetings to gather requirements, understand business problems, and present data-driven solutions.
- Collaborate effectively in multidisciplinary teams and communicate with technical and non-technical stakeholders.
Requirements
What you’ll need- Bachelor’s degree in Business Administration, Economics, Engineering, Statistics, or a related field.
- Graduate degree or specialization in Data Science, Data Analytics, or a related field.
- Practical experience with 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 distributed processing tools such as Spark and cloud platforms such as AWS, Azure, or GCP.
- Availability to work in a hybrid model and travel as required.
- Advanced proficiency in Python for developing data pipelines and analytical models.
- Experience with Machine Learning libraries such as scikit-learn and statsmodels.
- Experience with anomaly detection techniques and/or time series modeling.
- Experience with SQL and relational databases.
- Experience deploying models through APIs such as FastAPI or Flask, or through batch pipelines.
- Experience integrating with APIs and ingesting external data.
- Preferred: experience building and maintaining data pipelines (ETL/ELT).
- Preferred: knowledge of geospatial or urban data analysis.
- Preferred: experience automating processes and developing applications involving Generative AI (LLMs).
- Preferred: hands-on experience monitoring models in production, including drift detection and retraining strategies.
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Career development plan
- Food allowance
- Transportation allowance
- Gympass
- Meal allowance