Intuit Staff AI Scientist 

India, Karnataka, Bengaluru 

714219345

You'll get to design and build AI systems that directly impact our customers via the Virtual Expert Platform (VEP). In this role, you'll be designing, building, and deploying machine learning models in AI-native apps, using everything from analytical algorithms to deep learning and generative AI. We're excited for you to join us and do some seriously amazing work.

• Perform hands-on data analysis and modeling with huge data sets. Apply data mining, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms
• Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
• Create and refine features from the underlying data. You’ll enjoy developing just enough subject matter expertise to have an intuition about what features might make your model perform better, and then you’ll lather, rinse and repeat
• Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders
• Works with business planners to propose innovative products and services that fully utilize the power of AI and associated service functionality
• Collaborates with infrastructure architects in assessing and addressing the requirements for more automated, streamlined systems and for the data governance required for agile and responsive data manipulation
• Introduces industry-leading or academic-based ideas, research, and insights required by Intuit leadership to solve complex questions or fuel new business opportunities
• Acts as an advisor in overseeing and mentoring the work of colleagues towards the building of a vibrant practice community

• MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• 5+ years of proven experience in building AI systems using data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
• 2+ years as either as a lead in a AI /Data Science role or in a management position in AI
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code with strong coding proficiency in Python
• Strong communication skills and proven experience as an influencer at executive level
• Experienced in the use of distributed computing and/or distributed databases (Hadoop, NoSQL, etc.)
• Demonstrable ability to quickly understand new concepts---all the way down to the theorems—and to come out with original solutions to mathematical issues

Strongly Preferred:

• PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field
• Proven experience with Machine Learning techniques, especially on large scale datasets
• Proven experience with Hadoop and related programming environments (Hive,Pig,etc)
• Demonstrable skills in creative-problem-solving of complex and advanced technical subject matter
• Strong interpersonal and communication skills in order to effectively contribute to technical teams and make presentations to a variety of technical and business personnel