Lead Data Scientist (Deep Learning)

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a robust Senior Data Scientist preferably, with a Ph.D. who holds solid knowledge of reinforcement learning, deep learning, quick learner, and has strong coding capabilities. This person will be responsible for writing complex production-level codes.

Key Responsibilities

• Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
• Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions.
• 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

• Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field.
• At least 6+ years of extensive Data Science experience with Reinforcement Learning, Deep Learning, knowledge in AI, and DL modeling coding capability as this person needs to make designs happen.

• Strong statistics foundation and knowledge of statistical packages. Proficiency with Python and SQL and ability to write complex Python codes and SQL queries.

• A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes.

• Hands-on experience building models is a must.
• Experience with supply chain/retail forecasting is a must.

• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.

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.