RichRelevance is the global leader in omnichannel personalization. Ranked #1 for personalization in both the US and EMEA, RichRelevance is used by more than 200 multinational companies to create a data-centric, single view of the shopper, delivering the most relevant experiences across web, mobile and in store. RichRelevance drives more than one billion decisions every day, and has generated over $10 billion in sales for its clients, which include Target, Costco, Marks & Spencer and Priceminister. Recently, the company opened its cloud-based platform through its service-oriented architecture (SOA) to accelerate “Relevance in Store”—a strategic omnichannel initiative that enables clients to seamlessly merge disparate data sources and build applications that adapt to where, when and how consumers shop today. Headquartered in San Francisco, RichRelevance has been recognized as a “Best Place to Work” and a “Most Engaged Workplace” in the Bay Area for numerous years, and serves clients in 40 countries from 8 offices around the globe.
SENIOR DATA SCIENTIST
The Senior Data Scientist reports to the Principal Data Scientist and is responsible for expanding the depth and effectiveness of RichRelevance algorithms and product functionality. This role includes setting research directions, prototyping, and producing both internal and customer-facing analyses.
Work with product management, account managers, customers, and executives to identify specific product requirements and KPIs.
Translate high-level requests, problems, and goals into specific analysis action plans .
Evaluate current state of the art as well as consider novel algorithmic solutions to product requirements; evaluate applicability of those solutions.
Prototyping, including but not limited to Python, R, hive and pig; additionally, experience with developing production-quality software is a major plus.
Work with product management and engineering to scope, and test production implementations.
Provide data analysis to satisfy internal and client needs, owning every step from initial discovery and scoping, to presenting results to management.
MS, PhD or equivalent in Statistics, Applied Math, Machine Learning or a related field.
5+ years experience in predictive analytics, machine learning, or data analysis, preferably in a retail or e-commerce setting. That experience should include applying advanced analytical techniques to large data sets (many millions of rows).
5+ years experience in writing data analytic or scientific code, whether for software development, prototyping or data analysis.
Strong breadth of knowledge of statistical and machine learning approaches to a variety of prediction and classification problems, such as multivariate regression, generalized linear models, neural networks, support vector machines, decision trees, model ensemble methods, clustering techniques, time series, etc.
Deep knowledge of experimental design, as well as visual presentation of data analysis results.
Familiarity with a sufficient range of tools to work a problem from beginning to end, including data manipulation (Hadoop tools such as Pig and Hive; SQL; or Postgres) and scientific programming (Python, R, Matlab).
Excellent written and oral communication skills.
Level of experience (years):
Senior (5+ years of experience)
How to apply:
Please mention NLP People as a source when applying
RichRelevance is the global leader in omnichannel personalization and is used by more than 200 multinational companies to deliver the most relevant and innovative customer experiences across web, mobile and in store. RichRelevance drives more than one billion decisions every day, and has generated over $10 billion in sales for its clients, which include Target, Costco, Marks & Spencer and Galeries Lafayette.
Headquartered in San Francisco, RichRelevance serves clients in 42 countries from 9 offices around the globe. For more information, please visit www.richrelevance.com.