Cientista de Dados - Senior in Brazil, Indiana at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cientista de Dados - Senior in Brazil.

This role is focused on shaping and evolving advanced data science capabilities with a strong emphasis on search and recommendation systems. You will play a key role in improving personalized user experiences across multiple digital touchpoints such as search results, product rankings, collections, CRM, and recommendation engines. Working closely with product, engineering, and business teams, you will transform data-driven insights into impactful business decisions. The position combines hands-on model development with strategic influence over the data science roadmap. You will contribute to building scalable, production-ready machine learning solutions in a collaborative and fast-paced environment. This is a high-impact role for someone who enjoys solving complex problems and driving personalization at scale.

• Develop, evolve, and maintain search and recommendation systems, working with ElasticSearch and collaborating with internal and external technical teams.
• Design, build, validate, and deploy machine learning models focused on personalization, ranking, similarity, clustering, and recommendation use cases.
• Improve algorithms supporting search relevance, product ranking, collections, cart experience, and CRM personalization strategies.
• Define and execute experimentation frameworks, including A/B testing and offline/online evaluation metrics for model performance.
• Collaborate with Product, Engineering, Data Engineering, and Business teams to define hypotheses, KPIs, and data-driven experiments.
• Translate complex analytical results into clear, actionable insights for technical and non-technical stakeholders.
• Contribute to the definition of data science best practices, architecture guidelines, and documentation standards.
• Support the evolution of the data science function, helping shape roadmaps and fostering a data-driven experimentation culture.

Requirements:

• Degree in Statistics, Mathematics, Computer Science, Engineering, or related fields.
• Solid experience as a Senior Data Scientist working with production-grade machine learning models.
• Strong knowledge of recommendation systems, ranking models, similarity models, clustering, and applied machine learning techniques.
• Hands-on experience with ElasticSearch, particularly in search relevance and ranking optimization.
• Advanced proficiency in Python and data science / machine learning libraries.
• Experience designing and evaluating experiments, including A/B testing and statistical performance metrics.
• Experience working with large-scale data environments and complex datasets.
• Strong communication skills, with the ability to engage both technical and non-technical audiences.
• Strategic mindset with strong business orientation and problem-solving abilities.
• Proactive, collaborative, and capable of influencing cross-functional teams.
• Experience in e-commerce, retail, or digital platforms with recommendation systems is a plus.
• Knowledge of real-time or near real-time personalization and hybrid recommendation systems is a plus.
• Experience mentoring other data professionals and contributing to roadmap definition is a plus.

Benefits:

• Competitive and market-aligned compensation package.
• Flexible and remote-friendly work arrangements.
• Opportunity to work on large-scale personalization and recommendation systems.
• Strong focus on professional growth, learning, and leadership development.
• Collaborative and innovation-driven environment with multidisciplinary teams.
• Exposure to international operations and modern digital platforms.
• Culture that values diversity, inclusion, and continuous knowledge sharing.