Data Scientist Mid/Senior – Consulting
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Job Description
Cientista de Dados desenvolvendo modelos estatísticos e de Machine Learning para a WeCogno, consultoria de dados e IA. Gerando insights acionáveis e soluções para decisões de negócio.
Responsibilities:
- Understand business problems and define analytical hypotheses
- Perform deep exploratory data analysis (EDA) and generate actionable insights
- Build and validate statistical and Machine Learning models
- Perform feature engineering, model evaluation and improvement
- Integrate solutions with data engineering and technology
- Create and implement monitoring for models in production
- Document and communicate results to technical and business stakeholders
- For the senior position: make autonomous technical decisions
- For the senior position: lead complex, high-impact end-to-end projects
- For the senior position: mentor and review the work of mid-level and junior professionals
- For the senior position: communicate with and influence senior stakeholders (Management/Directors)
Requirements:
- Degree in Mathematics, Statistics, Data Science or Engineering
- Master’s/PhD in related fields is desirable
- Strong knowledge of Python (pandas, NumPy, scikit-learn)
- Solid understanding of predictive modeling, statistics and evaluation metrics
- Advanced SQL for data analysis and transformation
- Experience with deploying and monitoring models in production
- Strong skills in code review, coding standards, testing and best practices
- Ability to adapt language and communicate technical results to non-technical clients
- Preferred: experience with credit, collections and fraud models
- Preferred: experience in consulting or across multiple business domains
- Preferred: experience with distributed pipelines (Spark/Databricks)
- Preferred: proficiency in cloud platforms (AWS, Azure or GCP)
- Preferred: experience with MLOps (MLflow, Kubeflow, SageMaker, etc.)
- Preferred: NLP, generative AI or unstructured data analysis
- Preferred: experience with mentoring and technical leadership, especially for senior roles
Benefits:
- Flexibility: remote-first team with the ability to work from anywhere
- Health and dental plan (Bradesco)
- Wellhub (formerly Gympass)
- Conexa Saúde & Psicologia Viva
- Corporate partnership with Open English, discounts on English & Spanish courses
- Caju: home office allowance
- Paid leave of 22 business days per year
- Birthday day off
- Contracting model: PJ (contractor)
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