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Looking for Data Science Engineer- Contract position with possibility of Full-time

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Looking for Data Science Engineer- Contract position with possibility of Full-time 
Name: Optizent Marketing and Analytics
Location: REDMOND, WA
Category: IT Jobs/IT Recruiters
Last Updated: 10/15/2016
Ad Details:
Please submit your resume to support@optizent.com. This position is with our client. Only looking for people with valid work status.

Digital marketing is experiencing a transformative shift to automated, personalized marketing and prescriptive,
machine learning recommendation engines. Company is a leading provider of integrating marketing solutions and
experiences, maintaining client relationships that span many years and, in some cases, decades.
Company is uniquely qualified to assist marketing leaders and decision makers at every level of the various
industries we work with: technology, telecommunications, automotive, aeronautics, sports retail, financial, and others.
We're a unique mix of strategists, creatives, programmers, data analysts, engineers and architects€obsessed with the
art and science of crafting integrated approaches and optimizing meaningful connections that few agencies can match.
And we're having a blast doing it.

Company„ Data Science team provides intelligence products and services to some of the world's largest and most
innovative companies. In addition to great customers and great data, Company's Data Science team has focused on
hiring the best talent available. The Data Science team has created a challenging and stimulating work environment
that is producing industry-leading intelligence solutions.
Characteristics of some of our Data Science projects include:
Integrated cross-discipline marketing science strategy and planning
Multi-channel, multi-tier analytics
Complex, multi-touch campaign attribution
Qualitative, experimentation and testing data sets
A/B/n testing, behavioral targeting and personalization programs
“Voice of the Customer qualitative data analysis
Integrated site, mobile, mobile optimized, mobile App, and social analytics
Adobe Analytics, Microsoft Digital Analytics, Tealium, SiteCore tools, data mining and more
Ensighten, Tealium and other tag management systems
Focused on innovation and reinvention€never settle and question everything

Company is seeking a Data Science Engineer who can break down and solve complex problems, drive analytics
towards future state frameworks, and build flexible analytics solutions that optimize for scale, time-to-delivery, and
cost within a rapidly growing set of clients and needs.
The tools, code and methodologies that the candidate builds will have an immediate impact on client capabilities to
understand the client„ digital marketing environment and performance against client goals. These solutions will be
the cornerstone of client strategic business decision making.
The successful candidate knows and loves working with data engineering tools and programming languages; is
comfortable accessing, integrating and working with data from multiple sources; and can partner with internal
stakeholders to help drive business, client and project objectives.
This is a visible role, and offers an opportunity to help enable business-critical decisions that will increase campaign
effectiveness, content engagement, customer consideration, and ultimately client revenue and ROI.
The positions open can be located at any of Company„ main offices: Seattle, Sacramento, San Francisco, Boise, Fort
Collins, Chicago or New York City.

D A T A S C I E N C E J O B D E S C R I P T I O N V 1 . 0
L L C P . 3 O F 4
Support, program and implement analyst-created solution design documents / variable maps
Translate requirements into specifications and perform iterative testing to validate technical designs
Write, modify, test, and de-bug analytics tags and code using JavaScript, JQuery, tag management and other
Collaborate with Strategy and Technology teams to implement campaign and other tagging requirements for
websites, mobile optimized sites, mobile apps, multi-channel marketing solutions, and other environments
(including the use of and integration with vendor APIs and SDKs)
Resolve tracking issues (bugs, enhancements) with Technology teams as needed
Create implementation guides, testing guides, site audits, and supporting documentation as required
Assist in the evaluation and implementation of third-party solutions and tools
Understand high-level business objectives and work with the Data Science and Technology leadership teams
to evolve the organizational roadmap to the immediate and anticipated needs of the business
Respond to high priority requests from Company client leadership teams
Learn and understand the broad range of Company„ client data resources, and know when, how and what
to use and not use
Manage and execute entire projects or components of large projects from start to finish, including project
management, requirements and data gathering, data transformation and manipulation, data integration,
problem solving, and communication of insights and recommendations

Bachelor„ or advanced degree in economics, mathematics, statistics, computer science, or related field€or
equivalent experience
Two-plus years of experience writing and implementing web and mobile scripting languages, specifically
JavaScript, JQuery, and HTML5
Two-plus years of relevant experience in a data engineering role, including designing and implementing
solutions for multiple analytics tools and environments
Experience working with and implementing digital analytics and optimization tools, e.g., Adobe Analytics
(Omniture), Google Analytics, WebTrends Analytics, Microsoft Digital Analytix, SiteCore, etc.
Experience with and certification in one or more tag management systems, e.g., Tealium, Ensighten
Experience with statistical scripting languages and packages is a plus, e.g., R, Python
Experience with SQL programming as a component of analytics solutions is a plus
Experience working in Agile working environments
Verbal and written communication and data presentation skills, including ability to succinctly summarize key
findings and effectively communicate with both business and technical teams
Ability to balance and prioritize multiple conflicting requirements with high attention to detail
Interest in helping the Data Science and Technology teams develop and expand highly competitive data
engineering capabilities, solutions and services

D A T A S C I E N C E J O B D E S C R I P T I O N V 1 . 0

The last word is culture„
We are Company. We connect ideas and people using a combination of art, science and maybe a little magic. Wire is
connection. Stone is substance.
We believe in what we build and we create work we are proud to stand behind.
We consider the client„ point of view and treat their challenges as our own.
We have the courage to question and are relentless in the pursuit of understanding and meaningful exchange.
We champion creativity, innovation and invention and cultivate our collective imagination.
We invest our hearts and minds into our work and collaborate with clients to achieve and exceed collective goals.
We support, stand by, and help each other through trials and triumphs, building and optimizing on our learnings.
We elevate everyday interactions and make conversations€with each other and with clients€worth having.
Be a part of our conversations.

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Disclaimer: We are not responsible and liable for the validity of this classified. It is your responsibility to validate the claims made in this classified.  Please use your own discretion when meeting or conducting a transaction based on this classified.  There is a lot of scam on internet. Please beware of doing any transactions by personal check or cash or money transfer for buying or selling unless you have verified all the credentials of the user you are transacting with. We are not liable for any damages.

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