Lead Data Scientist(Neural Network)- PhD

Posted 6 Days Ago
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Austin, TX
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
The Lead Data Scientist will apply expertise in AI to design and build advanced analytics engines, solve business problems using data science methods, and collaborate with a team of data scientists and engineers. They will communicate solutions to business partners and ensure models are scalable and interpretable.
Summary Generated by Built In

Description

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.
Requirements
  • 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.
Benefits

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.

Top Skills

Machine Learning
Neural Networks
The Company
Bengaluru, Bengaluru
5,000 Employees
On-site Workplace
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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