Data Scientist

RELX; São Paulo; Presencial; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A data analytics company in São Paulo is looking for a professional to conduct data handling and quality analyses. Candidates should have a Bachelor's degree in a relevant field and experience in data manipulation. Fluency in Portuguese and advanced English are essential. This role involves collaborating across teams to consolidate data and communicate results effectively. The company fosters a fair hiring process.

Qualificações

• Bachelor’s degree in a relevant field.
• Experience in data manipulation and relational databases.
• Ability to communicate technical results to non-technical audiences.

Responsabilidades

• Collect, match, and consolidate data across teams.
• Perform data analysis and develop solutions.
• Communicate and present results to clients.

Conhecimentos

Data manipulation

Cleansing data

Effective communication

Teamwork

Advanced English

Fluent Portuguese

Formação académica

Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science

Descrição da oferta de emprego

Overview

This position exists to conduct data handling and quality analyses. The seniority will be set ranging from mid-level of an associate to senior depending on the university degrees, experience of the applicant in data mining, data analyses, lead/provide tactical direction and oversight of project team's work, etc.

Qualifications

• Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science.
• Experience in data manipulation, cleansing, use of relational databases and modelling.
• Ability to learn quickly, work with a team, and communicate effectively.
• Advanced English and fluent in Portuguese.
• Strong oral and written communication skills, including the ability to describe technical results to non-technical audiences.
• Provide Customer Support for clients in APAC and EMEA.

Pluses

• Experience in creating attributes for statistical modeling.
• Experience in modelling projects in the risk/fraud fields.
• Experience in managing data analysis projects.
• Experience in programming language and system to execute parallel processes.

Accountabilities

• Works across business/teams to collect, match, and consolidate data.
• Perform data analysis for assigned business including design and development of solutions.
• Make process and/or system improvement recommendations to assist the business in achieving its goals and objectives.
• Clearly summarize, document, and communicate/present analytic work and/or results to internal and external clients, and analytic and non-analytic stakeholders.

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