Data Science Architect

Company Description

👋🏼 We're Nagarro.

We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (19,500+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

Looking for a Data Science Architect having 9 - 11 years of experience in Machine Learning, Python and Cloud architecture. 

YOUR RESPONSIBILITIES: 

• You will be responsible for leading a team of Data Scientists and Data Engineers, designing Cloud solutions, converting business problems to Data Science problems, and choosing the right algorithms and techniques to solve the use case. 
• Develop architectures for Cloud deployment, model monitoring, MLOPs, etc.

Qualifications

• Studies in machine learning or a related technical field (e.g. Computer Science, Mathematics, Statistics, Physics)
• 9+ years experience in designing and implementing data science solutions
• Strong knowledge of machine learning algorithms, statistical analysis, and data visualization techniques
• Excellent programming skills in Python
• Experience in standard machine learning techniques (e.g. linear regression, K-nn, SVM, PCA, Kmeans, random forest, boosting)
• Experience with Cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark, Kafka)
• Excellent problem-solving skills and the ability to think strategically about complex issues
• Effective communication and collaboration skills with the ability to work across functional teams
• Strong leadership and mentoring abilities