Senior Data Scientist

Cognizant; São Paulo; Híbrido; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A global technology company in São Paulo is seeking a talented Data Scientist to develop advanced decision support systems using machine learning, particularly focusing on Natural Language Processing (NLP). The role involves collaboration with business partners to define use cases, data analysis, and deploying models to production. Candidates should have strong data analytics experience, proficiency in Python, and familiarity with Docker. This position supports a hybrid work model, balancing remote and in-office work.

Serviços

Wellbeing programs

Qualificações

• Strong experience in data analytics and machine learning, especially NLP.
• Proficiency in Python programming and automation.
• Experience deploying models to production using Docker.
• Ability to collect, clean, and analyze data from diverse sources.
• Excellent collaboration and communication skills.

Responsabilidades

• Work with business partners to define use cases utilizing machine learning or advanced analytics.
• Collect, clean, and analyze data from various heterogeneous sources.
• Develop machine learning models for prediction or classification to support business objectives.
• Implement advanced AI solutions, including deep learning.
• Deploy models to production systems using Docker containers.
• Write Python modules to automate Data Science tasks.
• Review Python code of junior colleagues.

Conhecimentos

Data analytics

Machine learning

Natural Language Processing (NLP)

Python programming

Data cleaning

Collaboration

Communication

Ferramentas

Docker

Descrição da oferta de emprego

About the role

As a Data Scientist, you will make an impact by developing advanced decision support systems using cutting-edge data analytics and machine learning techniques, with a particular focus on Natural Language Processing (NLP). You will be a valued member of our innovative and energetic team, collaborating to improve the performance and efficiency of our business units.

In this role, you will:

• Work with business partners to define use cases utilizing machine learning or advanced analytics.
• Collect, clean, and analyze data from various heterogeneous sources.
• Develop machine learning models for prediction or classification to support business objectives.
• Implement advanced AI solutions, including deep learning.
• Deploy models to production systems using Docker containers.
• Write Python modules to automate Data Science tasks.
• Review Python code of junior colleagues.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring regular presence in our Sao Paulo office. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• Strong experience in data analytics and machine learning, especially NLP.
• Proficiency in Python programming and automation.
• Experience deploying models to production using Docker.
• Ability to collect, clean, and analyze data from diverse sources.
• Excellent collaboration and communication skills.

These will help you stand out

• Experience implementing deep learning solutions.
• Prior experience reviewing and mentoring junior Data Scientists.
• Familiarity with advanced AI solutions and production environments.
• Strong problem-solving skills and business acumen.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.