Senior Data Scientist

RELX; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

Join a leading data analytics provider as a Senior Data Scientist. In this full-time role, you'll drive data analysis efforts, collaborate across teams, and present findings to support business objectives. The ideal candidate has a strong quantitative background, excels in data manipulation, and effectively communicates complex results.

Qualificações

• Bachelor's degree in a quantitative field is required.
• Experience in data manipulation and relational databases.
• Advanced English and fluency in Portuguese are required.

Responsabilidades

• Collaborate with teams to consolidate data.
• Conduct data analysis and recommend improvements.
• Communicate analytic results to stakeholders.

Conhecimentos

Data manipulation

Data cleansing

Relational databases

Statistical modeling

Programming languages

Communication skills

Formação académica

Bachelor's degree in statistics

Bachelor's degree in computer science

Bachelor's degree in engineering

Bachelor's degree in mathematics

Bachelor's degree in actuarial science

Ferramentas

Statistical modeling software

Data processing systems

Descrição da oferta de emprego

Join to apply for the Senior Data Scientist role at RELX.

This position is responsible for conducting data handling and quality analyses. The seniority level will range from mid-level associate to senior, depending on the candidate's university degrees, experience in data mining and analysis, and ability to lead or oversee project teams.

LexisNexis Risk Solutions is a trusted data analytics provider helping organizations manage risks and improve outcomes. Our Risk Business Analytics team comprises over 100 data scientists working in a fast-paced environment. We are innovators passionate about challenging the status quo and delivering results.

Qualifications

• Bachelor’s degree in statistics, computer science, engineering, mathematics, or actuarial science.
• Experience in data manipulation, cleansing, relational databases, and modeling.
• Ability to learn quickly, work collaboratively, and communicate effectively.
• Advanced English and fluent in Portuguese.
• Strong communication skills, capable of explaining technical results to non-technical audiences.

Preferred Skills

• Experience creating attributes for statistical modeling.
• Experience in risk or fraud modeling projects.
• Management of data analysis projects.
• Proficiency in programming languages and systems for parallel processing.

Responsibilities

• Collaborate across teams to collect, match, and consolidate data.
• Perform data analysis, including designing and developing solutions.
• Recommend process or system improvements to support business goals.
• Summarize, document, and communicate analytic results to stakeholders.

Additional Details

• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Technology, Information, and Media

This job is currently active and accepting applications.