Senior Data Scientist

Pyyne; Manaus; Presencial; BRL 228.000 - 314.000; Tempo integral

Resumo da oferta

A fast-growing consulting company is seeking a Senior Data Scientist to guide data-driven investment decisions. This role involves developing ML models, working with stakeholders, and ensuring ethical AI practices. The ideal candidate has strong Python and SQL skills, as well as a relevant advanced degree. This position offers career development opportunities within the expanding Data Science practice.

Serviços

Career development opportunities

High-impact role in a consulting environment

Qualificações

• Proven experience in machine learning model development and deployment.
• Strong ability to work collaboratively with business stakeholders.
• Excellent communication skills for presenting complex findings.

Responsabilidades

• Develop and validate machine learning models using structured and unstructured data sources.
• Work with business stakeholders to interpret model results and refine features.
• Translate complex findings into clear insights for stakeholders.

Conhecimentos

Python (for ML, Pandas, Pytorch)

SQL (Advanced skills)

Excellent problem-solving and analytical skills

Formação académica

Advanced degree in Data Science, Statistics, Computer Science, or related field

Descrição da oferta de emprego

Pyyne is seeking a senior-level Data Scientist to work as a consultant out of our Brazilian office. This is a high-impact role for Pyyne as we rapidly expand our Data Science practice globally.

Ultimately, a successful candidate in this role will guide data-driven investment decision making and improve outcomes through improved end-to-end ML model development and deployment. The ideal candidate is motivated to work on a new team and is excited to work in a consulting and implementation capacity with our clients to deliver novel solutions.

Key Responsibilities

Develop and validate machine learning models using structured and unstructured data sources

Work with business stakeholders to interpret model results and refine features

Collaborate with data engineering to optimize pipelines for data transformation, ingestion, and model deployment

Translate complex findings into clear insights for stakeholders through dashboards, reports, and presentations

Ensure model interpretability and adherence to ethical AI practices in a regulated environments

Must Have Skills

Python (for ML, Pandas, Pytorch),

SQL (Advanced skills including joins, aggregation, window functions, CTEs)

Excellent problem-solving and analytical skills

Nice to Have Skills

Experience working with Financial Services, Business Teams, or Operations

Experience in end-to-end ML model development and deployment

Strong communication skills with both technical and non-technical audiences

Advanced degree in Data Science, Statistics, Computer Science, or a related field

Salary Range from 42,000-57,600 USD/yr

Career development opportunities in a fast-growing company.