Microsoft Senior Technology Consultant - Data Scientist 

Spain 

838073295

Are you an experienced Data Scientist, who would like to be a part of a

Your success in this role will be achieved if you are comfortable interacting with external customers, are able to manage a complicated internal stakeholder group, and can demonstrate the following key knowledge, skills and experience:

• Hands-on software engineering experience (e.g. Python, C++)
• Proven skills and experience in a data science role
• Familiarity with building and deploying largescale AI solutions into production within a cloud environment
• Regular interaction with internal and external stakeholders on large, complex projects
• Bachelor's or Master’s degree in data science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or equivalent data-science experience
• Languages: Spanish and English are a must

As a Senior Data Scientist, you will be responsible for creating and deploying AI solutions that are ethical, reliable, and enable our customer to create impact. Some of your key responsibilities will include:

• Engaging with stakeholders to understand and address their business problems with data-driven solutions.
• Writing clear, efficient code for multiple features, with expertise in modelling, coding, and debugging.
• Proficiency in big-data engineering concepts like Hadoop, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API development.
• Using your data science expertise to identify factors that influence project outcomes.
• Preparing usable datasets for modelling, contributing to ethics and privacy policies around data collection.
• Leveraging machine learning knowledge to select appropriate solutions for business objectives.
• Overseeing AI use case implementation and coaching cross-functional teams
• Writing scripts and conducting controlled experiments with statistical analysis, communicating results to stakeholders.
• Partnering with data engineering teams for scalable operational models.
• Sharing industry insights via conferences and publications, staying updated on trends and contributing to thought leadership and intellectual property practices.
• Mentoring junior engineers and data scientists in best practices