Data Scientist Engineer
RichRelevance - San Francisco, CA

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RichRelevance powers personalized shopping experiences for the world’s largest and most innovative retail brands, including Walmart, Sears, Target and others. Founded and led by the e-commerce expert who helped pioneer personalization at Amazon.com, RichRelevance helps retailers increase sales and customer engagement by recommending the most relevant products to consumers regardless of the channel they are shopping.RichRelevance has delivered more than $5.5 billion in attributable sales for its retail clients to date, and is accelerating these results with the introduction of a new form of digital advertising called Shopping Media which allows manufacturers to engage shoppers where it matters most -- in the digital aisles on the largest retail sites in world. RichRelevance is headquartered in San Francisco, with offices in New York, Seattle, Boston, and London, and has been twice recognized as one of the “Best Places to Work” in the Bay Area.

RichRelevance is looking for passionate data scientist engineers who are self-driven and enjoy working in an exciting startup environment and can be part of a team responsible for building the next-gen platform for Omni-Channel analytics as a service (DataMesh). Come help us design, architect & build this platform.

Responsibilities:
Build/utilize tools and processes that will leverage the analysis function.

Devise and test your hypotheses through the exploration of various data sources.

Conduct hands-on data analysis and modeling with huge data sets to explore alternative designs.

Help develop long-term roadmaps for multiple technology initiatives, encompassing product definition, algorithmic and infrastructure architecture and team composition.

Work side-by-side with product managers and software engineers on detailed requirements, technical designs and implementation.

Be involved with recruiting and attracting technical talent for the DataMesh team.

Technical Skills:
You have advanced level proficiency in SQL.

You can write code in an object-oriented and/or functional framework.

Extensive experience working with large data sets.

Experience with Hadoop (HDFS/Hive/Pig/HBase/Sqoop) or other MapReduce paradigm is a plus.

You are comfortable with basic statistical topics (Bayesian vs frequentist, ANOVA, DOE, etc.).

You have employed predictive modeling/data mining techniques to ask and answer business questions.

Demonstrated analytical/problem solving ability.

Exposure to business intelligence tools (e.g., JasperSoft, Crystal Reports, Pentaho, Business Objects) is a plus.

Experience in Open Source product development a plus.

Exposure to a statistical package (R, Weka, SAS, SPSS) is a plus.

Personal Qualities/Work Style:
You ask really good questions. You are deeply curious.

You know how to use data to tell a story.

You’re tenacious—in data gathering, sampling, processing, visualizing, etc.

You are service-and customer-oriented.

Required Experience:
Minimum 3 years of relevant professional experience

Minimum 4-year BS/BA required in computer science, statistics, applied mathematics or some other technical discipline.

RichRelevance is an Equal Opportunity Employer and does not discriminate against any applicant on the basis of race, color, religion, national origin, gender, marital status, age, disability, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance.

RichRelevance - 18 months ago - save job - - block
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