Lead Data Scientist

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 (18,500+ 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

We are looking for a Lead Data Scientist having 8+ years of experience in Data Science & AI projects.

Key Responsibilities: 

• Will be responsible for delivering Data Science & AI projects, setting client expectations, designing solutions, reviewing implementations, and guiding team members. 
• Identifying opportunities to develop new capabilities in the area of optimization, lead development of POCs and accelerators.
• Presenting capabilities to client, driving pitches to project conversions.  
• Translating business requirement into an analytics problem statement, define KPIs for improving business metrics.  
• Strong business and technical knowledge in optimization.
• Significant work experience in areas like statistical modeling, predictive modeling, forecasting, computer vision, NLP, etc.
• Must be able to lead multiple projects, develop solutions, guide team members, and develop competency for the organization.
• Should be a strong collaborator and communicator and must have good client handling and presentation skills. 

Qualifications

• Expert-level knowledge in modern Data Science & AI topics like – Customer Churn, Predictive Maintenance, Sentiment Analysis, Object Detection, Object tracking, LLMs, Forecasting, Reinforcement learning, MLOps, Neural Nets, etc.  
• Good experience in of cloud platforms like AWS, Azure, and GCP for building and deploying AI-ML solutions. 
• Hands-on knowledge of Python language, APIs, SQL, integrating solutions, etc.  
• Ability to apply statistical techniques, visualization, and data analytics to derive insights from data and enable decision-making. 
• Excellent problem solving, debugging skills. 
• Ability to deep dive into requirements, create solutions, review code, and estimate effort. 
• Good communication skills in the English language.  

Additional Information

• Ability to work on large datasets.
• Knowledge in healthcare domain.