*Note: Please send your consultant profile
to [email protected] <[email protected]>*

Hi,



Hope you are doing well,



Please find the below requirement and if you are comfortable and interested
please send me your updated profile along with the below details ASAP to
move forward with further steps.



*Title: Sr. Data Analyst*

*Location: Redmond, WA*

*Duration: Long Term*

*Rate: Max $50/hr on C2C/1099*



*Job Description:*



Analyze very large data sets spanning advertisers & publishers traffic to
interpret patterns and distributions for such attributes as clicks, impress
ions, page views, and revenue.

·       Provide strong analysis so you can document findings, conclusions,
and effectively make systems recommendations to identify and mitigate abuse
within our advertising platform.

·         Understand algorithms, tools, and techniques to efficiently
investigate or shape invalid advertising traffic within search, mobile, and
display advertising markets.

·         Use statistical techniques to design models/framework that detect
fraud and other traffic pattern risks and iteratively test, refine, and
improve these models or framework.

·         Serve as an escalation point for all traffic quality issues, from
other support & services teams, Traffic Quality Engineers, and other team's
Analysts to gather issue information, assess business impact and resolve
issues escalating to product groups as needed for fixing or improving the
product.

·         Create traffic investigation post mortem and resolution
documentation for issues with large impacts within the advertising
platform. Composing timely worldwide correspondence, presentations or other
materials to partners or customers as appropriate.

·         Collaborate with relevant team members, developers, and Program
Managers to ensure rules or algorithms are in alignment with business needs.

·         Assist in creating processes or policy documentation in alignment
with the business needs.

·         Partner closely with Quality and development teams to identify
bugs in the tool set and providing supporting analysis/ impact information
to product groups.

·         Participate in conferences/forums and industry events.

·         Obtain, parse and evaluate large data sets in order to segment
fraudulent from non -fraudulent payment events, and further employ strong
data analysis skills to devise new risk rules for real time and post real
time decision making .

·         Collaborate closely with the Data Science and Operations Online
Forensics teams to drive strategies involving both real time and post real
time risk decision making, manual review strategy, and collaborative
efforts with the various business groups.

·         Influence team members with varying points of view in order to
derive strong solutions to complex problems requiring expertise from
multiple stakeholders.



*REQUIRED SKILLS: *

Bachelors in Computer Science, Statistics, or related field with a strong
analytical emphasis required.

Master’s degree in Computer Science, Data Mining, Statistics, Finance, or
Machine Learning desired.

Minimum of 1-3 years of related work experience required.

Strong written and verbal communication skills in order to convey
information to colleagues, business groups, and members of their immediate
team regarding current KPIs, trends, and reporting from advertising logs.

1-2 years working in web analytics,

security, computer forensics, or also trading preferably with organic or
paid search technologies, web analytics tools or development, ecommerce,
publishing network, and/or automated algo trading.

Demonstrates high energy/creativity and a passion for analyzing highly
complex data sets.

Project management skills and strong debugging skills

An entrepreneurial spirit and relentless customer focus

Practical understanding of quantitative methods, and superb attention to
detail.

Black/White Hat experience with a strong emphasis in malvertising.

Extensive knowledge and experience in at least two of the following areas:
data mining, web mining, machine learning, statistics, business
intelligence/customer intelligence, user modeling, information retrieval,
databases, data warehousing, OLAP, data processing (ETL),
emetrics/measurement, parallel and distributed comp







Thanks & Regards,



Hari Prasad Nampalli

Work: 909-610-3103 Ext: 118

Inent Inc (Innovative Enabling Technologies Inc)

[email protected] <[email protected]>

www.inentinc.com

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