Data Analyst Position
Tok Tok is a newly-founded venture conquering one of the most fundamental, utilitarian questions we all ask ourselves in day-to-day life: a question that today can be more accurately and conveniently answered on-demand. Operating in stealth mode, this early stage start-up is fueled by adequate cash from “friends and family” and is actively working towards building version 1 (v1) of the product. Upon completion of v1, the team will determine if scalability of the concept to a commercial level is possible and, if so, will seek seed funding from established partners.
As a sneak peak, Tok Tok flirts with analytics and “big data” layered on geolocation data to seek useful insights around a fairly universal question.
The data analyst position will be held for a three month period with the potential to convert to a full-time offer. During this period, the data analyst will work on several parallel modeling projects to support development of a proof-of-concept system. The data analyst will report to the co-founders. The data analyst should be confident in their abilities as the majority of projects will be autonomous. A prime candidate for this role is a self-starting team player with good business aptitude and a knack for explaining complex modeling in layman’s terms. Most importantly, the data analyst will play a crucial role in developing a core analytics platform for Tok Tok’s product, and as such will be regularly involved in top-level strategic discussions.
● Develop forecast models for time-series and discrete event data ● Develop optimization models
●Build models in non-academic fashion - understanding of 80/20 principle ●Acquire, curate and maintain relevant datasets
●Maintain databases and coordinate model data integration with application developers
●Work with potential customers on data acquisitions
●Communicate impact of findings on business development efforts to co-founders
●Potential for infrequent travel depending on location of analyst
●Work closely with lead data analyst and other analysts as needed
●Be comfortable with fast-paced, pragmatic research and development
●Development experience on a *NIX environment and at least one major open source DBMS (PostgreSQL, MySQL), numerical and statistics system experience helpful
●Experience in model development and regression for web-scale data sets ●Solid background in mathematics (pref. applied statistics, probability theory,
●BS in physics, mathematics and related fields; Graduate students of econometrics,
operations research, and engineering are encouraged to apply
●Repository familiarity for large data sets (e.g. weather, GDP, etc)
●Genuine curiosity with numbers and trends
●Excellent communication skills
●US citizen or permanent resident
Compensation will be cash-based for the first few months. If the applicant is a good team fit, a full-time offer with equity will be negotiated.