Senior Data Mining Analyst/Engineer# JobHunting - 待字闺中
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Hi,
We, Yahoo Advertising and Data team, is hiring Senior Data Mining Analyst/
Engineer
Quick Summary
1) Solid knowledge in data mining and machine learning
2) Decent industry experiences
3) Hands-On coding skills.
4) Please email your resume to d**********[email protected]
Please note. This is NOT for fresh MS/PhD. We are looking for experienced
talents this time.
Detail job description
Title: Senior Data Mining Analyst/Engineer
Location: California-Sunnyvale
Other Locations:
About Yahoo!
Yahoo! Is focused on making the world's daily habits inspiring and
entertaining. By creating highly personalized experiences for our users, we
keep people connected to what matters most to them, across devices and
around the globe. In turn, we create value for advertisers by connecting
them with the audiences that build their businesses.
Job Overview
The Advertising and Data Business Unit is responsible for delivering market-
leading advertising and audience analytics technologies, platforms,
solutions, and services. Our advertising products deliver billions of ad
impressions to hundreds of millions of users everyday, enabling hundreds of
thousands of advertisers to effectively connect with the right audience at
the right time across devices and across the globe. Our audience analytics
products analyze multi-terabytes of data everyday and deliver insight on the
preference, intent, interest, and behavior of users to help Yahoo and its
customers drive user growth, engagement and value.
We are seeking analysts and engineers to mine the massive amount of data at
Yahoo and apply innovative statistics and machine learning algorithms to
develop advertising tools and solutions that will automate and optimize
critical decisions in the end-to-end online advertising process and help
publishers as well as advertisers achieve their respective business
objectives. They will be working on a variety of online advertising problems
such bidding strategy optimization and response modeling, and develop and
operationalize analytic solutions that have immediate business impact.
The successful candidates will be those who are curious, quick learners,
self-motivated, and creative thinkers. They will be proven hands-on problem
solvers and really enjoy applying the state-of-art algorithms to massive
amount of data to search for useful patterns and relationships. They will
have broad knowledge about statistics, machine learning, optimization theory
, user behavior profiling, experimental design, and etc. More importantly
they will be excellent practitioners of these knowledge, and get enormous
satisfaction from implementing their solutions in production and seeing them
make a real difference to the business everyday.
Job Responsibilities:
• Collaborate closely with business partners to identify strategic
opportunities for applying innovative algorithms to help advertisers to
optimize the ROI of their advertising campaigns, allow publishers to
maximize monetization and engagement of their users, and enable all
participants in the marketplace to operate efficiently
• Analyze petabyte size data to identify useful relations, patterns
, and features that are predictive of user behaviors, preferences, intents,
interests, brand affiliation, and etc. Continuously identify and explore new
and unconventional data sources
• Apply advanced statistical, machine learning, and other types of
analytical techniques to audience analytics to improve inventory forecasting
, audience segmentation, and audience extension
• Design, develop, and implement statistical and machine learning
models to predict competitive bidding landscape, click through rate,
conversion/action rate, ad relevance to user, supply and demand risk, and
etc
• Abstract the objectives and constraints of critical business
decisions for advertisers and publishers, and formulate them in the form of
mathematical optimization problems. Develop advanced self-learning
algorithms and experiment design methodologies to solve them.
• Develop innovative techniques to collect performance data and
measure the impact of online advertising. Design effective experiments to
continuously explore the efficiency frontier of advertising performance
• Work with engineering and operations teams to build systems and
operational capabilities for implementing models and algorithms, and
monitoring and evaluating their health and effectiveness in production.
• Support product and sales teams in taking new advertising
products and offerings to the market by demonstrating their superior
algorithmic capabilities and business performances through case studies,
POCs, and etc
• Partner with research scientists in Yahoo! Labs to advance
scientific knowledge about online advertising. Stay abreast of industry best
practices and academic research trends
Minimum Job Qualifications
• MS/Ph.D in Computer Science, Electrical Engineering, Statistics,
Applied Mathematics, Econometrics, Quantitative Marketing, or a related
quantitative field
• Academic experience in predictive modeling, data mining, machine
learning, experimental design, statistical inference, econometrics, and etc
• Proficient programming skills in at least one of the following
languages: Java, Perl, Python, SQL, C/C++, SAS, and R
• Excel in abstract and statistical thinking while deeply grounded
in solid business judgment
• Skilled in interpersonal communication and relationship. Ability
to explain complex analytical concepts to non-experts
• Work well both independently and with others in a team
Preferable Job Qualifications
• Proficiency with big data technology such as Hadoop, Pig, Hive,
NoSQL
• Theoretic knowledge of and practical experience with large scale
text mining, graph data mining, and social network analysis
We, Yahoo Advertising and Data team, is hiring Senior Data Mining Analyst/
Engineer
Quick Summary
1) Solid knowledge in data mining and machine learning
2) Decent industry experiences
3) Hands-On coding skills.
4) Please email your resume to d**********[email protected]
Please note. This is NOT for fresh MS/PhD. We are looking for experienced
talents this time.
Detail job description
Title: Senior Data Mining Analyst/Engineer
Location: California-Sunnyvale
Other Locations:
About Yahoo!
Yahoo! Is focused on making the world's daily habits inspiring and
entertaining. By creating highly personalized experiences for our users, we
keep people connected to what matters most to them, across devices and
around the globe. In turn, we create value for advertisers by connecting
them with the audiences that build their businesses.
Job Overview
The Advertising and Data Business Unit is responsible for delivering market-
leading advertising and audience analytics technologies, platforms,
solutions, and services. Our advertising products deliver billions of ad
impressions to hundreds of millions of users everyday, enabling hundreds of
thousands of advertisers to effectively connect with the right audience at
the right time across devices and across the globe. Our audience analytics
products analyze multi-terabytes of data everyday and deliver insight on the
preference, intent, interest, and behavior of users to help Yahoo and its
customers drive user growth, engagement and value.
We are seeking analysts and engineers to mine the massive amount of data at
Yahoo and apply innovative statistics and machine learning algorithms to
develop advertising tools and solutions that will automate and optimize
critical decisions in the end-to-end online advertising process and help
publishers as well as advertisers achieve their respective business
objectives. They will be working on a variety of online advertising problems
such bidding strategy optimization and response modeling, and develop and
operationalize analytic solutions that have immediate business impact.
The successful candidates will be those who are curious, quick learners,
self-motivated, and creative thinkers. They will be proven hands-on problem
solvers and really enjoy applying the state-of-art algorithms to massive
amount of data to search for useful patterns and relationships. They will
have broad knowledge about statistics, machine learning, optimization theory
, user behavior profiling, experimental design, and etc. More importantly
they will be excellent practitioners of these knowledge, and get enormous
satisfaction from implementing their solutions in production and seeing them
make a real difference to the business everyday.
Job Responsibilities:
• Collaborate closely with business partners to identify strategic
opportunities for applying innovative algorithms to help advertisers to
optimize the ROI of their advertising campaigns, allow publishers to
maximize monetization and engagement of their users, and enable all
participants in the marketplace to operate efficiently
• Analyze petabyte size data to identify useful relations, patterns
, and features that are predictive of user behaviors, preferences, intents,
interests, brand affiliation, and etc. Continuously identify and explore new
and unconventional data sources
• Apply advanced statistical, machine learning, and other types of
analytical techniques to audience analytics to improve inventory forecasting
, audience segmentation, and audience extension
• Design, develop, and implement statistical and machine learning
models to predict competitive bidding landscape, click through rate,
conversion/action rate, ad relevance to user, supply and demand risk, and
etc
• Abstract the objectives and constraints of critical business
decisions for advertisers and publishers, and formulate them in the form of
mathematical optimization problems. Develop advanced self-learning
algorithms and experiment design methodologies to solve them.
• Develop innovative techniques to collect performance data and
measure the impact of online advertising. Design effective experiments to
continuously explore the efficiency frontier of advertising performance
• Work with engineering and operations teams to build systems and
operational capabilities for implementing models and algorithms, and
monitoring and evaluating their health and effectiveness in production.
• Support product and sales teams in taking new advertising
products and offerings to the market by demonstrating their superior
algorithmic capabilities and business performances through case studies,
POCs, and etc
• Partner with research scientists in Yahoo! Labs to advance
scientific knowledge about online advertising. Stay abreast of industry best
practices and academic research trends
Minimum Job Qualifications
• MS/Ph.D in Computer Science, Electrical Engineering, Statistics,
Applied Mathematics, Econometrics, Quantitative Marketing, or a related
quantitative field
• Academic experience in predictive modeling, data mining, machine
learning, experimental design, statistical inference, econometrics, and etc
• Proficient programming skills in at least one of the following
languages: Java, Perl, Python, SQL, C/C++, SAS, and R
• Excel in abstract and statistical thinking while deeply grounded
in solid business judgment
• Skilled in interpersonal communication and relationship. Ability
to explain complex analytical concepts to non-experts
• Work well both independently and with others in a team
Preferable Job Qualifications
• Proficiency with big data technology such as Hadoop, Pig, Hive,
NoSQL
• Theoretic knowledge of and practical experience with large scale
text mining, graph data mining, and social network analysis
