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Description:
Tiger Analytics is seeking a Senior Data Scientist with robust Optimization experience, particularly in integer programming and mixed integer programming, as well as AWS experience and strong coding capabilities.
The selected candidate will be responsible for writing complex production-level codes and should preferably have a background in Ad-Tech/Media-Tech domains.
Key responsibilities include effectively communicating analytics approaches to business partners, advocating for data-driven decision-making, leading analytic approaches, creating scalable models, collaborating with a team of Data Scientists, and staying updated with industry trends.
The role also involves supporting demands from regulators and investor relations by developing innovative solutions using cutting-edge techniques and tools.
Requirements:
Ph.D. or Master’s degree in Computer Science, Statistics, Economics, Data Science, or a related field.
Minimum of 10 years of Data Science experience with expertise in Optimization, AWS, Python, Scala, and strong coding skills.
Proficiency in Combinatorial Optimization, Integer programming, Mixed Integer programming, Greedy Heuristics, Time Series, Forecasting Techniques, and more.
Strong foundation in statistics and experience with statistical packages, Python, Scala, and SQL coding.
Hands-on experience in building time-series/forecasting models and preference for Ad-Tech/Media-Tech industry experience.
Excellent communication and collaboration skills to understand and deliver solutions to business partner needs.
Benefits:
Significant career development opportunities in a fast-growing and challenging entrepreneurial environment.
High degree of individual responsibility in a dynamic and innovative analytics consulting firm.