Senior Applied Scientist

Pride Global; Teletrabalho; BRL 495.000 - 717.000; Tempo integral

Resumo da oferta

A prominent technology company is seeking a Senior Applied Scientist to lead Machine Learning initiatives remotely in Brazil. This role involves developing and deploying ML models to tackle complex business problems, collaborating with cross-functional teams, and mentoring junior staff. Candidates should have over 5 years of experience in applied Machine Learning, with strong Python skills and a Master’s or PhD in a related field. This position offers a chance to influence the technical direction and drive innovation within the organization.

Qualificações

• 5+ years of industry experience in applied Machine Learning.
• Deep understanding of ML best practices such as A/B testing and experiment design.
• Experience building and deploying ML models in production at scale.

Responsabilidades

• Lead development and deployment of Machine Learning models.
• Write and maintain efficient, scalable code.
• Analyze datasets to extract insights.

Conhecimentos

Applied Machine Learning

Python

SQL

Deep Learning

Data Engineering

Machine Learning Best Practices

Formação académica

Master’s degree or PhD in Computer Science or related field

Ferramentas

Python scientific libraries (NumPy, pandas)

ML frameworks (PyTorch, TensorFlow)

Big data tools (Apache Beam, Kafka, Spark)

Cloud platforms (AWS, GCP, Azure)

Descrição da oferta de emprego

Senior Applied Scientist (Remote – Brazil) Employment Type : Full-Time

Work Location : Remote (Brazil) – São Paulo

Duration : Open-Ended

Job Overview

We are seeking a highly skilled Senior Applied Scientist to lead the development and deployment of advanced Machine Learning solutions. In this role, you will influence the technical direction of the team, collaborate closely with Product and Engineering partners, and drive innovation across data-driven initiatives.

This is an excellent opportunity for someone who combines strong technical expertise with leadership capabilities and a passion for building high-impact solutions.

Responsibilities

• Lead end-to-end development and deployment of Machine Learning models to solve complex business problems.
• Write and maintain clean, efficient, scalable code following industry best practices.
• Analyze large-scale datasets to extract insights and support data-informed decision-making.
• Apply state-of-the-art ML methodologies, including deep learning and modern frameworks, to build robust models.
• Take ownership of key system components and influence the broader technical strategy.
• Collaborate with cross-functional stakeholders to design deployable, production-ready ML solutions.
• Mentor junior scientists and engineers, fostering team expertise and growth.
• Contribute to organizational technical leadership through patent filings and publications in top-tier venues.

Minimum Requirements

• 5+ years of industry experience in applied Machine Learning.
• Master’s degree or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related field.
• 3+ years of experience building, deploying, and managing ML and deep learning models in production at scale.
• Deep understanding of ML best practices (A / B testing, pipelines, feature engineering, experiment design).
• Strong knowledge of algorithms and techniques such as gradient boosting, deep neural networks, transformers, and optimization methods.
• Experience in Computer Vision ; experience in Causal Inference is highly desirable.
• Expertise with Python scientific libraries (NumPy, pandas, Polars) and ML frameworks (PyTorch, TensorFlow, Keras, Scikit-Learn).
• Strong data engineering skills and comfort working with large-scale datasets.
• Experience with big data tools (Apache Beam, Kafka, Spark).
• Experience with cloud platforms : AWS, GCP, or Azure.
• Fluency in Python and SQL .

Preferred Qualifications

• PhD in CS, ML, AI, Statistics, OR, or related fields.
• Experience applying ML to real-world retail industry problems.
• Familiarity with modern MLOps tools and pipelines .
• Impact-driven mindset and commitment to delivering high-quality models.
• Demonstrated leadership capabilities with experience guiding or managing technical teams.