Zé Delivery | Cientista de Dados Pleno

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Zé Delivery | Data Scientist Pleno based in Brazil.

This role offers the opportunity to apply data science to solve complex business challenges and create impactful solutions in a digital ecosystem. The professional will develop analytical models and insights that support strategic decisions related to distribution, marketplace growth, and customer experience. Working alongside multidisciplinary teams, this position combines advanced analytics, machine learning, and business understanding. The ideal candidate will transform ambiguous problems into scalable data-driven solutions that generate measurable impact. This role requires strong technical expertise, curiosity, and the ability to communicate recommendations clearly to different stakeholders. It is an opportunity for a data professional who wants to contribute to innovative products and large-scale digital operations.

Accountabilities:: Work within Digital Insights squads focused on territory and seller-related challenges, developing data-driven solutions to improve business performance.

Build analyses and predictive models to support decisions related to allocation, distribution, footprint expansion, and service level improvements.

Develop solutions for portfolio definition and product recommendations for sellers.

Translate business challenges into scalable analytical solutions in collaboration with Product, Engineering, and business teams.

Define success metrics and measure the impact of models and solutions on key business indicators.

Communicate insights, recommendations, and learnings clearly to support decision-making.

Apply statistical analysis, machine learning, and experimentation methodologies to improve products and operational strategies.

Develop and maintain models involving prediction, classification, segmentation, recommendation systems, and ranking techniques.

Explore opportunities to leverage artificial intelligence tools and emerging technologies to accelerate problem-solving and development processes.

Requirements:

Bachelor’s degree completed in quantitative fields such as Statistics, Mathematics, Computer Science, Engineering, or related areas.

Previous experience in Data Science, Analytics, or similar roles, with autonomy to develop and apply analytical solutions to business challenges.

Practical experience creating and implementing analyses or models used by business teams.

Strong programming skills in Python and SQL for data analysis and modeling.

Experience with PySpark and processing large volumes of data.

Solid knowledge of statistics, machine learning concepts, and model evaluation techniques.

Experience developing predictive, classification, segmentation, or recommendation models.

Knowledge of recommendation techniques such as similarity models, association rules, and ranking algorithms.

Experience with experimentation, A/B testing, and impact measurement approaches.

Ability to structure complex and ambiguous problems into actionable analytical solutions.

Strong communication skills and ability to collaborate effectively with multidisciplinary teams.

Experience with territorial allocation, distribution, geographic data, marketplace, e-commerce, or delivery environments is a plus.

Familiarity with Databricks, cloud environments, and generative AI tools is considered a differentiator.

Benefits:

Medical insurance plan.

Dental insurance plan.

Telemedicine services.

Life insurance.

Mental health support through digital healthcare services.

Gym membership benefit.

Employee discounts on products.

Christmas basket and children’s gifts during holiday periods.

Private pension plan.

Meal allowance or food allowance options.

Transportation allowance according to the role model.

Annual attendance bonus equivalent to an additional salary payment.

Childcare or babysitter assistance.

Profit-sharing program.

Opportunities for professional development, career growth, and working in an inclusive and collaborative environment.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1