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Junior Data Scientist
IEBT InnovationData Scientist responsible for data analysis, model development, and collaboration in Brazil. Exploring data, translating complex metrics into reports for various stakeholders.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, machine learning model development, and statistical validation, with a strong ability to communicate complex findings to diverse stakeholders. Proficient in leveraging advanced data manipulation and visualization tools to drive data-driven decision-making.
Highest-signal resume keywords
Python ProgrammingMachine Learning FrameworksAdvanced SQL ProficiencyData Visualization ToolsStatistical Analysis
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 AnalysisPredictive ModelingStatistical AnalysisHypothesis TestingData ManipulationRegressionClassificationClusteringTime Series AnalysisLinear Algebra
Soft Skills
CollaborationData Storytelling
Tools & Technologies
PandasNumPyScikit-LearnSciPyXGBoostLightGBMTensorFlowPyTorchPower BITableau
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- Explore, clean, and analyze large volumes of data (structured and unstructured) to identify patterns, anomalies, and opportunities.
- Develop, train, and validate predictive and prescriptive Machine Learning models (regression, classification, clustering, time series, etc.).
- Create rigorous statistical analyses and hypothesis tests to validate business assumptions.
- Translate complex mathematical metrics into reports and dashboards (Data Storytelling) for technical and non-technical stakeholders.
- Collaborate with data engineers to design efficient data pipelines that feed models in a scalable way.
Requirements
What you’ll need- Experience with: Python (Pandas, NumPy, Scikit-Learn, SciPy) or R.
- Proficiency with data querying and manipulation tools: advanced SQL.
- Hands-on experience with Machine Learning frameworks (XGBoost, LightGBM) and Deep Learning (TensorFlow or PyTorch).
- Strong knowledge of Statistics (probability, regression, A/B testing) and Linear Algebra.
- Experience with data visualization tools (Power BI, Tableau, or Looker).
Benefits
Comp & perks- Health and Dental Plan
- Home Office Allowance
- Meal Allowance
- Paid Vacation
- Birthday Day Off
- Health and Wellness Program
- Individual Development Program (IDP)