Job Summary: We are seeking a professional with a strong foundation in applied statistics and machine learning (ML) to develop decision-making models that increase engagement, recirculation, and revenue, delivering personalized recommendations and actionable insights. Key Highlights: 1. Recognized as the BEST company to work for in MG and in BRAZIL (GPTW) 2. Commitment to diversity, equity, and inclusion 3. Culture of continuous feedback and professional development **We are BHS!** **With 30 years of experience in the market, we deliver modern IT solutions.** **We are recognized as the BEST company to work for in MG and in BRAZIL by GPTW \- Great Place to Work**, and ranked among the top five **best companies to work for in the LGBTQIA\+ and Ethnic-Racial categories**, demonstrating our commitment to diversity, equity, and inclusion. **What do we expect from you?** * Ability to build relationships with people across different departments and hierarchical levels; * Self-management; * Collaboration; * Proactivity and willingness to work outside your comfort zone; * Someone eager to contribute to amazing projects and highly motivated to learn, teach, and grow alongside BHS. **Responsibilities and Duties****Your activities will include:** * Building and deploying decision-making models to boost engagement, recirculation, and revenue, delivering personalized recommendations and actionable insights for editorial and advertising teams, supported by rigorous experimentation. * Developing and enhancing recommendation models (ranking, collaborative filtering, content/NLP-based, hybrid). * Defining and operating an experimentation framework (A/B testing, holdout groups, editorial quality guardrails). * Building insight systems for editorial teams: performance forecasting, trend detection, emerging topics, update recommendations, and distribution optimization. * Generating intelligence for advertising: contextual targeting, engagement propensity, impact on viewability/RPM. * Working with audience and content data (BigQuery) and collaborating with Data Engineers to define features. * Monitoring model performance, data drift, and side effects (diversity, repetition, saturation, quality). * Documenting models, evaluation criteria, and results for stakeholders (product, editorial, commercial). **Requirements and Qualifications****We are looking for someone who has:** * Bachelor’s degree in Statistics or related fields; * Strong foundation in applied statistics and ML (classification, ranking, recommendation); * Experience with Python (pandas/sklearn or equivalents) and SQL; * Experience with experimentation and measurement (A/B testing, metrics, statistical significance, trade\-offs); * Familiarity with behavioral data (sessions, clicks, time spent, retention); * Strong communication and collaboration skills with engineering/product/editorial teams; * Availability for hybrid work (2 days per week) in BH and surrounding region. **Preferred Qualifications:** * NLP/embeddings for journalistic content; * Contextual bandits / reinforcement learning for recommendation; * MLOps (training pipelines, model versioning, monitoring). **Additional Information** **What can you expect from us?** At BHS, your well\-being is our top priority. We’re here to ensure your experience is exceptional, with all the support you need. Here’s what you’ll find with us: Health insurance and dental care; Meal/food allowance via Flash card; Remote work allowance; Gympass / Wellhub; Life insurance; Extended maternity/paternity leave; Diverse partnerships and benefits in education, health, and leisure (universities, language schools, gyms, health clinics, etc.); Culture of continuous feedback, including: biannual feedback sessions, 1:1 meetings, IDP (Individual Development Plan), and BHS Experience. We actively pursue inclusion and diversity in our daily operations and believe diverse teams perform better. Everyone is welcome. **Join us as a B.Techer** Check our Glassdoor rating (4\.5 stars, 90% recommended to others). \#vempraBHS \#somosBHS \#LI\-Hybrid **31 years of history: building relationships with people, innovation, and clients.**
João Silva
Indeed · HR
João Silva
Indeed · HR
