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if interested in.
How would you like to work with 150TB of data in Hadoop where you can derive
insights into the behavior of 600,000 customers … AND be part of a company
that has made a significant investment into delivering a hungry small
business customer community the insights they crave?
If you answered YES then read on!
Constant Contact is seeking a Data Scientist to bridge the gap between raw
data in Hadoop and the insights required by our customers and internal
analysts. The right candidate will have a broad skill set that spans the
database, Hadoop, statistics, analysis and programming disciplines with a
vast amount of tricks up your sleeve to “beat data into submission” to
tell an impactful, actionable results driven story.
What You’ll Do:
Work on a project basis as a data science expert partnering with senior
analysts to define and create the data set for a given analytical project
Work independently to uncover insights in a vast data set
Collaborate with senior data engineers and data scientists to define and
implement best practices for creating operational data sets for consumption
by analysts and analytical processing systems.
Develop Pig and Hive jobs to load, transform and export data sets
Partner with our BI and Analytics teams to help implement enterprise data
standards, data management and governance policies
What You Know:
Minimum of three (3) years’ experience in software engineering
Requires a four (4) year college or university degree in Computer Science,
Engineering, Mathematics or related field and/or relevant equivalent
experience; Master’s degree preferred
Familiarity in extracting and transforming data from Hadoop using Pig, Hive
or Map/Reduce technologies
Solid end-to-end understanding of BI and analytics systems, including SQL
and no-SQL databases, data warehouse, and Big Data
Solid knowledge of statistical software such as R, SPSS, or SaaS
Experience working with analytical stakeholders, including business analysts
, BI engineers and predictive analysts with the ability to present findings
to a non-technical audience
Strong analytical and problem solving skills
Ability to work both independently and collaboratively as part of a cross-
functional organization
ETL and/or Data Science background a plus |
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