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Transformative Data Expert
2 semanas atrás
Data Scientist Role
Are you eager to tackle complex and high-impact business challenges using data? Do you want to work with a diverse team of experts who strive for continuous improvement?
Your Impact:
- You'll be part of a multi-disciplinary team that uses data to drive real-world impact for leading organizations.
- In this role, you'll help solve high-impact business problems by analyzing complex datasets from influential companies.
- Working closely with more experienced data scientists, engineers, and designers, you'll contribute to the development of scalable data science products and solutions.
You'll grow your skills by:
- Participating in cross-functional problem-solving sessions.
- Contributing to the development of our internal Data Science Toolbox.
- Collaborating with experts in machine learning, engineering, and design.
Your Growth:
You will work in our São Paulo office as part of a collaborative team and work with global colleagues from diverse backgrounds and disciplines.
From day one, you'll be paired with a mentor and supported by a collaborative team of data scientists, engineers, designers, and project managers.
You will gain hands-on experience across different industries and data challenges, learning how to:
- Contribute to large-scale digital and analytics transformations.
- Develop solutions that support personalization, marketing, operations, and more.
Our culture values curiosity, experimentation, and continuous learning. You will have space to try new approaches, ask questions, and develop both technical and consulting skills.
Your Qualifications and Skills:
- Undergraduate degree in computer science, statistics, mathematics, physics, engineering, or related fields (graduation between June 2023 and December 2025).
- Practical coding and modeling experience with a strong foundation in data science concepts.
- Experience with at least two of the following languages: Python, R, Scala, SQL.
Benefits:
You will have opportunities to:
- Grow your skills through participation in cross-functional problem-solving sessions.
- Develop your expertise by contributing to the development of our internal Data Science Toolbox.
- Presentation and conference opportunities to showcase your work.
Others:
We place strong emphasis on mentorship, community, and inclusion - ensuring you feel supported and empowered to thrive.
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