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Senior Data Scientist
Rox Partner. Develop, validate, monitor, and enhance statistical, predictive, and Machine Learning models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced proficiency in Python and SQL for developing and enhancing Machine Learning models, alongside strong knowledge of Statistics and Data Science methodologies. Capable of transforming large volumes of data into actionable insights while ensuring model quality and reliability.
Highest-signal resume keywords
Machine Learning Model DevelopmentData Exploration and AnalysisStatistical Modeling and EvaluationAWS Ecosystem ServicesPython and SQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData ScienceStatistical ModelingHypothesis TestingPredictive ModelingData AnalysisModel MonitoringKPI TrackingData TransformationAlgorithm Development
Tools & Technologies
PythonSQLPandasNumPyScikit-learnXGBoostLightGBMGitScrumKanban
Certifications & Qualifications
AWS Machine Learning CertificationMLOps Certification
Industry Keywords
Artificial IntelligenceDeep LearningNLPGenerative AICI/CD Pipelines
Tech Stack
Tools & technologiesAWSDockerKerasKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Develop, validate, monitor, and enhance statistical, predictive, and Machine Learning models
- Explore, analyze, and interpret large volumes of structured and unstructured data
- Transform data into actionable insights to support decision-making
- Develop analytical studies and models focused on customer behavior, patterns, and business opportunities
- Build and implement scalable analytical solutions with quality, efficiency, and reliability
- Conduct exploratory analyses, hypothesis tests, and impact assessments
- Identify opportunities to optimize processes through Data Science, Statistics, and Artificial Intelligence
- Integrate data from different internal and external sources, ensuring consistency and quality
- Partner with Business, Data Engineering, and Technology teams
- Monitor models in production and propose continuous improvements
- Research and apply new methodologies, algorithms, and technologies in AI, Machine Learning, and Analytics
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field
- Strong experience applying Data Science to solve business problems
- Advanced knowledge of the full analytical and Machine Learning model development lifecycle, from data exploration through deployment, production monitoring, and continuous improvement
- Advanced proficiency in Python and SQL
- Experience with Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, or similar tools
- Experience working with large volumes of structured and unstructured data
- Experience with AWS ecosystem services applied to Data and Machine Learning
- Strong knowledge of Statistics, Probability, hypothesis testing, statistical modeling, and model evaluation
- Experience developing, validating, monitoring, and enhancing predictive models and Machine Learning algorithms
- Experience defining and tracking KPIs and statistical model metrics
- Knowledge of Git
- Experience working with Scrum or Kanban
- Preferred: MLOps, deployment and monitoring tools, Deep Learning (TensorFlow, PyTorch, or Keras), LLMs, Generative AI, NLP, AWS or Machine Learning certifications, Docker, Kubernetes, and CI/CD pipelines
Benefits
Comp & perks- Remote work – Monday to Friday, 9:00 a.m. to 6:00 p.m.
- Meal/Food Allowance (VR/VA) – Monthly cumulative allowance of R$300.00, which can be spent as, when, and where you choose
- Birthday benefit – Gift voucher and a day off
- Bonus for publishing approved articles on the company blog (for every two approved posts)
- Full access to RoxSchool, Alura, Pluralsight, and O’Reilly platforms for books and lectures
- Certification reimbursement of up to R$300.00 for technology certifications, plus a R$300.00 bonus for each certification earned
- Two psychotherapy sessions per month, fully covered by ROX
- WellHub (Gympass)
- Work equipment