Decision Scientist



Decision Scientist
São Paulo

Escale is a rapidly growing customer acquisition company located in São Paulo, Brazil. Founded in 2013 by two American entrepreneurs in their apartment in Vila Madalena, Escale today boasts more than 500 employees.

We use data and technology to deliver more intelligent and optimized buying experiences to consumers. We manage the end-to-end sales funnel for big brands in industries such as telecom, healthcare and education with a simple thesis: the best sales strategy is to deliver an amazing buying experience to end users.

With recent investments from top VCs such as Kaszek Ventures, Global Founders Capital and Redpoint eVentures, we are expanding our engineering and data teams to develop a world class customer acquisition platform.

About Us We dream big and constantly focus on the customer, knowing that what we do today are the building blocks for the greater future. We have a highly diverse culture and intend to keep it that way, respecting everyone regardless of their age, sex, skin color, country of origin, sexual orientation or experience level. We put deep understanding of agile values, above specific processes and methodologies. We make decisions based on data and are highly results oriented. Our culture resembles a sport team more than a family, where trust and respect are earned by winning hard battles together.

About You You’re a master of your craft and a relentless problem solver. You think critically and question everything, seeking deep understanding of concepts and business problems. You are transparent and a tireless truth teller, sharing information in an efficient and constructive way to improve the environment around you. You’re an outlier, you do and achieve things that most people find hard or even impossible. You’re humble and a solid team contributor, knowing not to put your personal interests above the team’s and that every interaction is a learning opportunity. Main Activities Discover new opportunities in growth and business optimization through analysis and modeling Create customer segmentations and strategies on how to interact with our audience and increase the engagement Conduct performance analysis by channel to identify, evaluate and prioritize opportunities and also several web analytics analyses in order to generate insights and make decisions on products, optimizations and tests Work with a variety of product managers, engineers, designers and growth hackers across the company in order to generate hypotheses, suggest experiments, analyze them and interpret those results Build statistical models, machine learning algorithms and automate the decision-making process Desired Skills and Expected Qualifications A degree in Mathematics, Statistics or Engineering Experience with data mining, data modeling, database dimensional models and business analytics Practical knowledge in Statistics, A/B test modeling, hypothesis testing Advanced experience with SQL and with at least one programming language (Python, R) Skills in translating business problems in structured analysis and data into insights Fluency in creating reports, building dashboards using Looker, Tableau or Power BI and answering complex business questions Experience with KPI definition, monitoring and analysis Problem solving mindset, adaptability and analytical thinking Benefits Autonomy to solve hard challenges Fun atmosphere Public transportation and meal allowance Health and dental insurance Gym allowance Home office Partnership with SESC Free beer every day Competitive salary package Working with top minds in the industry Out of state relocation assistance Choose your own setup (OS, laptop, monitor, etc) Education allowance English classes

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