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Senior Data Scientist
Rox PartnerSenior Data Scientist developing and validating analytical and predictive models for business initiatives at Rox Partner. Collaborating with cross-functional teams to drive insights from large datasets.
Tech Stack
Tools & technologiesAWSDockerKerasKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Develop, validate, monitor, and evolve statistical, predictive, and Machine Learning models to support strategic business initiatives
- Explore, analyze, and interpret large volumes of structured and unstructured data, turning them into actionable insights for decision-making
- Conduct analytical studies and build models to understand customer behavior, identify patterns, and generate business opportunities
- Design and implement scalable analytical solutions, ensuring result quality, efficiency, and reliability
- Perform exploratory data analysis, hypothesis testing, and impact assessments to support strategic decisions
- Identify opportunities to optimize processes using Data Science, Statistics, and Artificial Intelligence techniques
- Work with data from various internal and external sources, ensuring integration, consistency, and data quality
- Collaborate with Business, Data Engineering, and Technology teams to understand requirements and translate challenges into analytical solutions
- Monitor the performance of models in production and propose continuous improvements to ensure accuracy and efficiency
- Research, evaluate, and apply new methodologies, algorithms, and technologies related to Artificial Intelligence, Machine Learning, and Analytics to promote innovation and advance data solutions.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related field
- Proven experience in Data Science applied to solving business problems
- Strong command of the end-to-end analytics and Machine Learning model development lifecycle, from data exploration to deployment, monitoring, and production evolution
- Advanced knowledge of Python and SQL for data manipulation, analysis, and processing
- Experience with Data Science and Machine Learning libraries such as Pandas, NumPy, Scikit-learn, XGBoost, LightGBM, or similar
- Experience handling, processing, and analyzing large volumes of structured and unstructured data
- Experience with AWS data and Machine Learning ecosystem services
- Solid knowledge of Statistics, Probability, hypothesis testing, statistical modeling, and model evaluation
- Experience developing, validating, monitoring, and evolving predictive models and Machine Learning algorithms
- Experience defining and tracking model performance metrics (KPIs and statistical metrics)
- Knowledge of Git for code versioning
- Experience with agile methodologies (Scrum or Kanban)
- Nice-to-haves: Experience with MLOps and model deployment/monitoring tools
- Knowledge of Deep Learning (TensorFlow, PyTorch, or Keras)
- Experience with LLMs, Generative AI, or Natural Language Processing (NLP)
- AWS or Machine Learning certifications
- Knowledge of Docker, Kubernetes, and CI/CD pipelines.
Benefits
Comp & perks- Remote position – Monday to Friday (09:00 to 18:00)
- Meal/Food allowance – R$300.00 per month (cumulative) to spend as you choose; the amount is credited to your iFood account monthly and an ELO-branded card is provided
- Birthday – Rox gives you a gift voucher and a day off to celebrate your special day
- Blog – Rox encourages knowledge sharing; for every 2 approved posts published on our blog you receive a bonus
- Courses – Full access via RoxSchool, Alura, Pluralsight, and O’Reilly for books and talks
- Certifications – Reimbursement of up to R$300.00 (TECHNOLOGY) + a R$300.00 bonus for each certification obtained from these providers
- Psychological support – Two psychotherapy sessions paid monthly by ROX with partner psychologists
- WellHub (Gympass)
- We provide the work equipment.
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
Machine LearningData ScienceStatistical ModelingPredictive ModelingData ManipulationExploratory Data AnalysisModel Performance MetricsDeep LearningNatural Language ProcessingData Integration
Soft Skills
CollaborationProblem-SolvingAnalytical ThinkingCommunication
Certifications
AWS CertificationMachine Learning Certification