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Senior Data Scientist
3 meses atrás
ioasys specializes in creating unique solutions for bold companies. We are experts in bringing the best of the digital universe to our customers and transforming, rethinking and evolving society. We help brands to innovate following the principles of agile methodology and user-centric approach.
We are part of the Alpargatas Group, a century-old, global and innovative company. Walking together, we develop end-to-end solutions, promoting the digital transformation of large companies in the national and international market such as: Banco Inter, Burger King, BASF, VR Benefits, LATAM Airlines, Pfizer, Localiza, Fleury, DMCard, Fundação Dom Cabral and Suvinyl.
We provide an environment dedicated to growth, with incredible professionals and constant learning in offices that stimulate creativity and productivity. You will be on a horizontal and transparent team that not only values your ideas, but also expects you to be a part of building the company with us.
We believe in our work and carry in our DNA the certainty that we have the power to impact millions of lives with each project we carry out. We are not just thinkers, we are doers
The Senior 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.
Main responsibilities
• 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.
Come with us Sign up there :)
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