Lead Data Scientist(Neural Network)- PhD

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are looking for a Lead Data Scientist, who will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services to add to our team.

Key Responsibilities

• Work on the latest applications of data science to solve business problems.
• Have working experience on Neural network problems and models
• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
• Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements.
• Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

• 4 years of Data Science experience required.
• PhD in Data Science, Computer Science, or a related field.
• Ability to apply various analytical models to business use cases.
• Comfortable working in onsite setup in Austin, TX.
• Ability to apply various analytical models to business use cases
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
• Bias for action, with the ability to deliver outstanding results through task prioritization and time management.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.