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 Data Scientist with a statistics and economics background who can work on banking deposit products and forecast fund Flows in and out of the bank on a monthly/quarterly/yearly basis, given the frequently changing Fed rates.

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.

• Master’s or Ph.D. in Statistics, Economics, Data Science, Computer Science, or a related field.
• At least 5+ years of extensive Time-Series Forecasting and Modeling experience – apply seasonality adjustments, incorporate exogenous variables, etc.

• Strong statistics foundation and knowledge of statistical packages in any coding language (preferably SAS or Python).

• Economics background – should know how to work with macroeconomic data/variables in Time-Series forecasting.

• Ability to use Marketing data as input to time-series models.

• Hands-on experience building models is a must.

• Data Visualization in Tableau (design, develop, publish, and automate Tableau dashboards).

• Proficiency with Python and SQL and ability to write complex SQL queries.

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

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.