Senior Data Scientist Perfil buscado (Hombre/Mujer): Understand a business requirement and design an ML approach to solve the challenge effectively.Define which technology to use in each part of the pipeline (SQL, Python, EC2, AWS, Lambda, crontab, etc.
).Lead a small team of data scientists towards the development of a feature for the application.Own the delivery of a business requirement.Ensure coding best practices in the development and mentor junior data scientists in coding standards.Validate and approve Pull Requests.Ensure the quality of the deliverables of your own and others.Interact with other functions and agree on data exchange protocols (DevOps, Front End, Database backend, etc.
).Define strategies for the use of data and how data use interacts with data design.Lead an AI laboratory performing discovery tasks and developing AI products.Join a team of over 100 motivated ML Engineers, data scientists, and developers.
We focus on developing digital AI products that are easy to integrate.
We believe in challenging the status quo and empowering business with meaningful AI.
Our internationally diverse team develops high-quality software, creating sustainable added value for our customers.
We live a feedback culture to constantly reflect and improve.
We offer flexible remote work and enjoy new technologies, fostering lifelong learning through further training opportunities.
Minimum Qualifications: 4 to 6 years of experience in data science.4+ years of experience with data programming/scripting languages (Python, R, SQL), including package building and object-oriented programming.4+ years of experience in machine learning methodologies (supervised/unsupervised, deep learning).Experience using cloud technologies.Experience working with multi-disciplinary teams.Experience working with Agile Methodology (Jira, stand-ups, sprint planning, etc.
).Experience in project planning.Ability to communicate technically at a level appropriate for the audience.Ability to work in a fast-paced environment and learn quickly.Bonus Qualifications: Master's in Data Science/Machine Learning.AWS Cloud experience/exposure. Technologies: SQL, Python, R, EC2, AWS, Lambda
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