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A leading company in the tech sector seeks an experienced Data Scientist to join their dynamic team. The role involves developing ML models, applying deep learning, and collaborating with cross-functional teams to solve business problems. Candidates should demonstrate expertise in Python and have strong communication skills to engage with stakeholders effectively.
As an experienced Data Scientist, you will:
Understand user needs and business opportunities and identify where Machine Learning can bring the greatest impact.
Develop machine learning models from scratch or fine-tune existing ones.
Train and test deep learning models.
Team work using Agile methodology and be part of the end-to-end process, collaborate with other profiles in the team.
Detect the data that may be useful in upcoming projects and verify whether this data already exists or needs to be tracked.
Deliver incremental work, following lean product development principles.
Share your knowledge with your colleagues to boost machine learning in Adevinta and strengthen our machine learning community.
Identify challenges and growth for business.
RESPONSIBILITIES
Have experience applying machine learning and deep learning methods to:
Develop solutions to address impactful business needs.
Provide hands-on support in a range of Computer Vision and Natural Language Processing related tasks.
Assure quality and robustness of data science outputs.
Work with other team members to help productionize end-to-end ML solutions.
Demonstrate a robust ethical framework and critical thinking skills when developing, implementing, or utilizing AI technologies.
Experience in applying Generative AI technologies to solve business problems, while demonstrating a thorough understanding of its associated risks.
Proficiency in Python with ability to translate ideas into prototypes.
Experience working in cloud environment (e.g. AWS)
Experience with Agile philosophies (e.g. Scrum) and project management tools (e.g.: JIRA).
Have strong interpersonal communication skills to:
Engage with stakeholders and understand business requirements.
Clearly communicate complex ideas to both technical and non-technical audiences.