Mid-level Data Scientist

November 27

Apply Now

Receive Emails with Similar Jobs

Experian

WebsiteLinkedInAll Job Openings

Artificial Intelligence • B2B • SaaS

Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.

10001 employees

Founded 1996

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

📋 Description

• Develop and maintain robust, scalable data pipelines. • Automate analytical routines and data ingestion and transformation processes. • Perform exploratory data analysis and prepare data for modeling. • Conduct backtests and validate predictive models. • Collaborate with engineers and data scientists on multidisciplinary projects. • Contribute to the evolution of the team’s data architecture and analytics infrastructure. • Translate business problems into data-driven solutions, with a focus on agribusiness.

🎯 Requirements

• Bachelor’s degree in Data Science, Mathematics, Engineering, Statistics, Computer Science, or related fields; • Strong experience with Python and data science libraries (Pandas, NumPy, scikit-learn, etc.); • Proficiency in SQL and experience working with large volumes of data; • Familiarity with code versioning (Git) and development best practices; • Experience with backtesting and model validation; • Knowledge of predictive modeling; • Communication skills to present technical results clearly and convincingly; • Ability to adapt and learn quickly.

🏖️ Benefits

• Serasa Experian is more than you might imagine. • With the purpose of creating a better future and expanding opportunities for people and businesses, we are more than 4,000 people working across a variety of teams and specialties in Brazil. • Here, knowledge and diversity complement each other and you can work on what you love. We are committed to building an inclusive culture and an environment where people can balance their careers with personal commitments and interests, prioritizing well-being.