SR Data Scientist

At Zallpy, technology is created by curious, collaborative people who care about doing things well. If you enjoy environments where there is room to ask questions, test ideas, learn, and grow together, this opportunity is for you! 💚

At Zallpy, a diverse environment and an inclusive culture are part of who we are. We build a safe and respectful space where different perspectives are welcomed and everyone has the opportunity to grow, contribute, and belong.

We support your development at every stage of your journey.
Come grow with us. 🚀

We are looking for someone to join a team that thinks big, works with attention to detail, values partnership in everyday work, and shares responsibility. We believe in autonomy, the exchange of different experiences, and building solutions together.

Here, growing means sharing knowledge, respecting different ways of thinking, and building relationships based on trust while delivering high-quality technology.

If this way of working resonates with you, come join us.

What you will do:

• Design, develop, test, and implement complex Data Science models and algorithmic systems to generate business value;

• Lead large-scale Data Science initiatives from proof of concept (POC) through production deployment;

• Design and structure reusable codebases, applying Data Science best practices to ensure the sustainability of the technical portfolio;

• Collaborate with stakeholders to understand business challenges and develop scalable, sustainable solutions;

• Work closely with Data Scientists, Data Analysts, and Data Engineers to build and deliver valuable analytical solutions;

• Document and communicate the design, functionality, and results of analytical models and solutions to different audiences;

• Ensure timely delivery, testing, and ongoing maintenance of developed solutions;

• Communicate data insights and demonstrate business value to stakeholders;

• Serve as a technical lead and key point of contact for Product Managers, business partners, and other collaborators;

• Share technical knowledge, tools, and best practices, contributing to a culture of continuous learning.

What we are looking for:

• Advanced English proficiency;

• Experience designing, developing, evaluating, testing, and implementing complex Data Science models and algorithmic systems;

• Ability to lead Data Science initiatives end to end, from proof of concept through production;

• Knowledge of software development best practices, reusable code design, and scalable, sustainable solutions;