Data Scientist

Alpargata’s data team works with a wide variety of technologies and methods to solve our challenges. We have a data chapter and our data scientists are distributed on tribes and squads. We are happy when we achieve simple solutions that aggregate value to the business! We believe that data science is the science of making data-driven decisions and we work side to side with our business partners. In this sense, we understand as our mission: “to build data products for supporting business decisions”. We try to see beyond standards to develop solutions pragmatically and efficiently. An agile mindset, product management best practices and collaboration are in the kernel of our way of working. 

Some examples of what we do as a data & analytics team: we execute experimentation A/B testing, we build creative data explorations and data mining efforts to generate insights; we create predictive models trained with sklearn/keras/tensorflow/pytorch based on databricks platform; we create data pipelines to feed our data lake with AWS S3/Glue and deliver transformed data to a snowflake DW; In addition, we use tableau for delivering impactful data visualizations.

The Data Scientist will develop data products from end to end, create and discuss architectural design of solutions and experiments with experienced data scientists. These data products will include data pipelines, ML/statistical models, experiments A/B tests, EDAs/data explorations and data visualizations aiming to generate value to the business in the context of one squad.

• Develop machine learning and statistical models;
• Deploy models to production by building APIs or via ETL pipelines;
• Use statistics, data mining and visualization techniques to model problems, find opportunities, discover solutions, and deliver actionable business insights;
• Create data pipelines to feed the data lake/DW and production models;
• Deliver simple and effective solutions;
• Use creative and innovative ways of solving problems and delivering solutions;
• Develop data products covering business understanding, data understanding, data preparation, model creation, validation and deploy;
• Create impactful presentations, translate technical concepts to both technical and non-technical audiences;
• Guide less experienced colleagues on delivering models and data pipelines;
• Periodically present the results of her work to more experienced data scientists.

• Bachelor’s degree or higher in a quantitative field (Mathematics, Computer Science, Engineering, Economics, Statistics, etc.);
• Familiarity with agile methodologies;
• Facility on business understanding and data preparation;
• Experience on creating data pipelines;
• Experience with Machine Learning, Data Mining and Statistical Data Analysis techniques;
• Good foundation on design and analysis of experiments;
• Excellent storytelling and collaboration skills;
• Experience in SQL, Python, ETL/ELT, statistics/machine learning methods and data visualization tools;
• Knowledge on AWS Glue, S3, redshift, snowflake, databricks, dbt and PySpark is an advantage;
• High learning ability.

Preferred Qualifications:

• Fluent in Portuguese and English;
• Experience in the academic and research field.

• Dynamic workspace to practice your abilities;
• Flexible hours;
• Day Off – Birthday;
• Talks and Courses ministered by our specialists;
• English Classes (In Company);
• Zenklub;
• Discounts of up to 75% on Alpa products;
• PET license;
• Gympass;
• Internal program with products store.

Cocriamos experiências significativas, feitas por pessoas e projetadas para pessoas.

Somos uma empresa de tecnologia, inovação e design orientada por dados e pautada na agilidade. O nosso foco é a cocriação de soluções digitais com uma entrega ágil de ponta a ponta. Desde o desenho da estratégia de transformação, estudos de mercado e tendências, formação e capacitação de times até o desenvolvimento do produto final.

Colocamos isso em prática com algumas das maiores empresas do mercado nacional e internacional, como: Suvinil, CVC, Fleury, VLI, BASF, Americanas Delivery, L’Oreal, Ânima e Vale.

Fazemos parte da Alpargatas, um grupo centenário de marcas desejadas e hiperconectadas como a Havaianas. Somos Alpa com o objetivo de acelerar cada vez mais a sua transformação digital, uma empresa global, inovadora e sustentável, que fala muitas línguas e conecta diferentes pessoas com um mesmo propósito: o de surpreender sempre.