Senior Statistician
Data Mining, Hadoop, Java, Python
Sidebar is a leading personalization technology provider focused on enabling content discovery for millions of consumers while increasing sales and loyalty for our enterprise clients. We are a fast growing, well funded startup based in Santa Monica, CA with a seasoned board and management team. We are expanding our Metrics team in order to significantly enhance our industry-leading technology platform and to develop next generation personalization and discovery tools.
Position Description
The Senior Statistician will report directly to the Chief Technology Officer of Sidebar and will be a critical role in the organization’s ongoing evolution. This position will challenge the selected candidate to navigate large data sets and develop sophisticated statistically based predictive systems built around this data. The Senior Statistician is expected to be self-motivated and passionate about data and contributing to a world-class consumer experience.
The successful candidate will provide leadership to our Metrics team and help us bring additional focus to data quality as well as measurably improve the effectiveness of our data-driven products, analysis, and insights. Sidebar’s recommendation and personalization engine delivers to our customers the most relevant product recommendations, based on a consumer’s unique profile, expressed preferences and historical behavior.
Duties will include:
- Leading the development of our advanced technology in predictive modeling and large-scale data analytics.
- Architecting major analytics modules for Sidebar’s recommendation engine and related toolsets.
- Working with internal engineering staff and outsourced developers to define, plan, and deliver world-class solutions on time and on budget.
- Identify proper testing and validation protocols for implemented solutions.
- Assist CTO in formulating long-term product roadmaps.
Prerequisites
- PhD or MS in Statistics, Applied Statistics, Computer Science, or Applied Mathematics.
- Startup experience
Required Experience
- 10+ years industry experience providing mathematical solutions to business issues, preferably related to online product recommendations, web based personalization, behavioral ad networks, behavioral eMarketing
- Practical industry experience using multiple analytical methodologies including Bayesian methods, collaborative filtering, and cluster analysis
- Practical working knowledge of distributed computing, NLP, parallelizing algorithms, machine learning, Mahout
- 4+ years experience developing high performance solutions in Java, Python on a Linux platform (EC2 / AWS a plus)
- Strong working experience with large data sets on Hadoop, Pig experience a plus
- Deep knowledge of relevant metrics for real-time systems
- Excellent understanding of data mining techniques on large sets of consumer behavioral and product data
- Experience with Testing and Optimization desirable
- Ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems in team environment
- High commitment to excellence, collaboration and team achievement
- Experience using statistical/mathematical tools such as Weka, SAS, R, Matlab to assist in data analytics and modeling
To apply, please send cover letter along with resume or CV to jobs@sidebar.com