Head of Data & AI

Head of Data & AI - Grupo QuintoAndar

Location: remote-first across Brazil. We can live anywhere in Brazil, with the option of working from our São Paulo offices or partner coworking spaces up to twice a week.

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal.

The Role

You will be the main responsible for Data&AI organization and strategy within a business unit. We expect you to:

• Engage with peer leaders (from Product Management, Design and Engineering) within your business context to align strategy and org structure;
• Deeply understand the business context and proactively identify opportunities to generate value with Data&AI;
• Guide teams to build Data Products and AI solutions to solve business challenges;
• Use prediction and prescriptive methods to support decision-making;
• Set a long-term strategy and plan for Data&AI in your Business Unit;
• Be a reference and build a great team by both recruiting great talent and helping them grow;
• Be an internal influencer towards a data and AI driven culture;

Requirements

• 7+ years of experience in Data&AI;
• Proven track record of leading medium to large teams and fostering career growth. Experience leading teams to business impact through Analytics and Data Science. Expertise in probability and statistics, including experimental design, bayesian modeling, optimization and causal inference for A/B experiments analysis.
• Strong knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Solid understanding of software and data engineering best practices, with awareness of the challenges in deploying machine learning models to production.
• Experience providing technical guidance to data professionals (data analysts, data scientists, etc);
• Excellent English skills (verbal and written) are mandatory.

You will stand out if you

• Have experience in working at fast-growing startups.
• Have a MSc. (or Undergrad + intense experience) in data science, machine learning, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fields.
• Have experience with optimization problems.
• Have experience leading Data Engineering teams.
• Have experience with Causal Inference.
• Have experience leading staff+ Individual Contributors (ICs).

Hiring Process

• Application
• Interview with Recruiter
• Tech Screening
• Interviews with Data Team
• Leadership & Management
• Offer

Benefits

• Competitive salary
• Profit sharing
• Variable compensation
• Meal allowance
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids