Senior Technology Consultant - Data Scientist

Are you an experienced Data Scientist, who would like to be a part of a global customer facing Team focussed on solving complex, real-world business challenges? Would you like to be a part of a community of technical consultants, highly specialised in their disciplines and bring the best practices of consultancy and delivery to the world’s largest enterprise customers? 

We are hiring a Senior Data Scientist with experience in advanced statistical data analysis to work with high-impact professionals who are solving complex problems for strategic customers and partners. You'll enhance your communication skills as you share trends and innovative solutions, collaborating cross-functionally within the Microsoft ecosystem, including with product teams, research, security, solution strategy, industry excellence, and responsible AI. 

Microsoft Industry Solutions is a global organization of over 16,000 strategic sellers, industry experts, elite engineers, and world-class architects, consultants, and delivery experts who work together to bring Microsoft’s mission of empowerment – and cutting-edge technology - to life for the world’s most influential customers. We are on the front lines of innovation, working side-by-side with customers to drive value across the entirety of their digital transformation journey.   Leveraging the principles of model, care, and coach, we provide consistent high-quality customer experiences through technical leadership and IP capture centred on delivery truth. We are committed to Responsible AI, and we help our customers and partners build ethical, transparent and trustworthy AI solutions

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

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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