Senior Data Scientist - Vaga afirmativa para pessoas negras

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist - Vaga afirmativa para pessoas negras based in Brazil.

This is a high-impact data science role focused on building and deploying scalable machine learning solutions that directly influence business outcomes across complex digital ecosystems. You will work end-to-end on data science initiatives, from data exploration and feature engineering to model development and production deployment. The role sits within a collaborative, fast-paced environment where data, engineering, and product teams work closely to solve real-world problems. You will contribute to improving model performance, ensuring data quality, and driving experimentation at scale. Beyond model building, you will play a key role in translating business challenges into analytical solutions with measurable impact. This position also emphasizes mentorship, technical leadership, and knowledge sharing within a highly collaborative data team. It is an opportunity to grow in an environment that values scientific rigor, innovation, and continuous learning.

Accountabilities

• Design, develop, and deploy end-to-end machine learning models, covering data acquisition, feature engineering, training, validation, and production deployment.
• Collaborate with cross-functional teams including data analysts, engineers, and product managers to translate business problems into data science solutions.
• Develop advanced features and work with large-scale datasets to improve model accuracy, robustness, and business impact.
• Ensure data quality and integrity by defining requirements for reliable datasets and monitoring data health over time.
• Monitor and troubleshoot deployed models, addressing issues such as drift, degradation, and performance bottlenecks.
• Provide technical leadership in statistical modeling, machine learning, and advanced analytics applied to complex business problems.
• Document and communicate methodologies, insights, and recommendations to both technical and non-technical audiences.
• Mentor and support junior data scientists and analysts through code reviews, technical guidance, and knowledge sharing.
• Contribute to a culture of experimentation, scientific rigor, and continuous improvement within the data team.

Requirements

• Degree in Computer Science, Statistics, Engineering, Economics, or another quantitative field.
• Strong proficiency in Python for data science (pandas, NumPy, scikit-learn, PySpark).
• Hands-on experience building and deploying machine learning models, including supervised and unsupervised learning techniques.
• Experience with large-scale data environments and cloud platforms such as GCP, AWS, Azure, or Databricks.
• Familiarity with data warehouses and databases such as BigQuery, Snowflake, PostgreSQL, or SQL Server.
• Experience with MLOps tools and workflows such as MLflow, Databricks, SageMaker, or Vertex AI.
• Solid understanding of Git-based version control workflows (GitHub, GitLab, Azure DevOps).
• Strong analytical thinking, problem-solving skills, and ability to work across multiple teams and stakeholders.
• Excellent communication skills and ability to present complex topics clearly to technical and non-technical audiences.
• Curiosity, collaboration mindset, and entrepreneurial spirit with a focus on continuous learning and innovation.
• Fluent English is required for working in an international environment.
• Nice to have: experience with deep learning frameworks such as PyTorch or TensorFlow/Keras.
• Nice to have: experience mentoring or coaching junior team members.

Benefits

• Meal and transportation assistance (VR/VT).
• Flexible work model with freedom to work from home or remote locations.
• Health, dental, and life insurance coverage.
• Gympass access for wellness, fitness, and health programs.
• Access to coworking spaces through flexible booking platforms.
• Semiannual performance reviews with growth and promotion opportunities.
• Regular in-person company gatherings with workshops, training sessions, and networking events.
• Collaborative and inclusive culture focused on empathy, learning, and innovation.
• Strong emphasis on professional development, experimentation, and continuous learning.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1