Job 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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Prinicpal Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
Requirements
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.
Tiger Analytics is a boutique consulting company focusing on data analytics and predictive modeling in some of the high growth areas such as retail, social media, and online advertising. We are a strong team of data scientists and business consultants with in-depth knowledge and experience solving data related problems -- social media analytics, customer insights, customer analytics, forecasting, inventory and promotion planning, scheduling, pricing and revenue management. Through our understanding of businesses, coupled with expertise in advanced quantitative frameworks and state-of-the-art technologies, we help our clients take decisions in a scientific manner. Data Sciences: Econometrics, Bayesian Statistics, Optimization, Machine Learning, Artificial Intelligence, Natural Language Processing Select Methodologies: Linear/Nonlinear/Logistic Regressions, Time-Series models, Linear Programming, Latent Class methods, MCMC methods, Structural Equation models, Neural Networks, Support Vector Machines, Discrete Choice models, Hierarchical Bayes models etc. Tools / Technologies: R, SAS, MATLAB, SPSS, CPLEX, GAMS, Gauss, Python, C++, Java, PHP, MySQL, VBA, Tableau, Spotfire, and several other open source tools We are headquartered in Santa Clara, CA, with additional offices in Chicago, Illinois and Chennai, India.
