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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPandasPythonScikit-Learn
About the role
Key responsibilities & impact- Develop and maintain analytical and predictive models in Python, from data exploration to production deployment.
- Work closely with business areas to understand problems, formulate hypotheses, and communicate findings clearly and concisely.
- Ensure the quality, reproducibility, and scalability of delivered solutions.
- Analyze and interpret large volumes of data to identify patterns and trends.
- Propose and implement innovative solutions to business challenges using data science techniques.
Requirements
What you’ll need- Proficiency in Python for data analysis and modeling (pandas, scikit-learn, statsmodels or similar).
- Solid foundation in statistics — hypothesis testing, distributions, regression, inference.
- Ability to structure ambiguous problems and propose solutions with autonomy.
- Good communication skills to translate technical results for non-technical audiences.
- Plus: Familiarity with cloud environments (GCP, AWS or Azure).
- Experience with A/B experiments and causal inference.
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics or related fields.
- Postgraduate degree or master’s in Data Science or related areas (preferred).
Benefits
Comp & perks- Meal and/or food allowance
- Transportation voucher
- Health insurance
- Dental coverage
- Life insurance
- Private pension plan
- Profit-sharing program (PPR)
- Pharmacy benefit
- Childcare assistance
- Flexible working hours
- V.tal Benefits Club
- Extended maternity leave (6 months)
- Extended paternity leave (20 days)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPandasScikit-LearnStatsmodelsStatistical AnalysisHypothesis TestingRegressionData AnalysisPredictive ModelingCausal Inference
Soft Skills
Communication SkillsProblem-SolvingAutonomy
