Senior Data Scientist

Jobtailor; São Paulo; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Jobtailor seeks a Senior Data Scientist to own end-to-end AI/ML initiatives from ideation to production. You will design data pipelines, develop models, monitor performance, and drive governance across deployments.

Collaboration with business and technology teams is essential to deliver high-impact fraud prevention solutions. You will work with Python, PySpark, and SQL in distributed environments, mentor juniors, and guide projects through data exploration, feature engineering, training,

Qualificações

• Proven experience as a Senior Data Scientist owning end-to-end AI/ML initiatives.
• Strong command of Python for data science and automation.
• Hands-on experience with ML pipelines, model/versioning, and reproducibility.
• Experience with model monitoring and drift management.
• Experience with PySpark and large-scale distributed data environments.
• Ability to work autonomously and transform legacy processes into robust automations.
• Strong communication skills and ability to conduct meetings in English.
• Bachelor’s degree in Computer Science, Data Engineering or related field.

Responsabilidades

• Develop scripts, automations, and data pipelines using Python, PySpark, and SQL.
• Modernize legacy processes related to database management, business rules, and alerting engines.
• Design, develop, and implement Machine Learning models in production environments.
• Work across the entire model lifecycle: data exploration, feature engineering, training, validation, deployment, monitoring, retraining.
• Develop analytical solutions for business challenges, initially focusing on fraud prevention.
• Work with large volumes of data in distributed environments, ensuring performance, quality, and scalability.
• Build and maintain robust, reliable data pipelines, and monitor model performance in production.

Conhecimentos

Python

Autonomy

Mentorship

English meetings

Formação académica

Bachelor's degree in Computer Science

Bachelor's degree in Data Engineering

Ferramentas

PySpark

SQL

Descrição da oferta de emprego

Develop scripts, automations, and data pipelines using Python, PySpark, and SQL
Modernize legacy processes related to database management, business rules, and alerting engines, reducing manual tasks and increasing traceability
Design, develop, and implement Machine Learning models in production environments
Work across the entire model lifecycle, including data exploration, feature engineering, training, validation, deployment, monitoring, and retraining
Develop analytical solutions for business challenges, initially focusing on fraud prevention
Work with large volumes of data in distributed environments, ensuring performance, quality, and scalability
Build and maintain robust, reliable data pipelines
Continuously monitor model performance in production, proposing improvements and adjustments
Document technical decisions, automations, experiments, models, and limitations
Ensure the reproducibility, auditability, and governance of Data Science initiatives
Serve as a technical reference, supporting junior professionals through mentoring, code reviews, and best-practice sharing
Contribute to the evolution of development, data engineering, and Machine Learning standards
Collaborate with business and technology teams to identify and implement high-impact opportunities

Requirements

• Proven experience as a Senior Data Scientist, taking technical ownership of end-to-end AI/ML initiatives, from ideation and scoping through production implementation and operations
• Strong command of Python for Data Science, automation, and pipeline development
• Hands-on experience with ML pipelines, model/artifact versioning, and reproducibility
• Experience with model monitoring and drift management
• Experience working with large-scale data and distributed environments (PySpark)
• Ability to work autonomously, take technical ownership, and transform legacy processes into robust automations
• Strong communication skills, with the ability to explain technical decisions clearly and objectively
• Ability to conduct meetings in English
• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• Preferred qualifications: prior experience building fraud models; experience in regulated environments or with sensitive data; previous experience as a hands-on technical mentor

Core Competencies

Demonstrates expertise in developing and implementing Machine Learning models and data pipelines using Python, PySpark, and SQL, while ensuring model performance and governance in production environments. Proven ability to mentor junior professionals and collaborate with cross-functional teams to drive high-impact data science initiatives.

Highest-signal resume keywords

• Python For Data Science
• Machine Learning Model Development
• PySpark Data Processing
• Model Monitoring And Drift Management
• Technical Mentorship

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• Automation Scripting
• Feature Engineering
• Model Validation
• Data Exploration
• Reproducibility
• Artifact Versioning
• Fraud Model Development
• Data Governance
• Distributed Data Environments

Soft Skills

• Strong Communication Skills
• Autonomous Work
• Technical Ownership

Certifications & Qualifications

• Bachelor’s Degree In Computer Science
• Bachelor’s Degree In Data Engineering

Industry Keywords

• Data Science
• Machine Learning
• Automation
• Fraud Prevention
• Regulated Environments
• Data Management