VP of Data Science

TiVo

(New York, New York)

Full Time

Job Posting Details

About TiVo

TiVo Inc.(NASDAQ: TIVO) is the leader in the advanced television entertainment. Since its inception in 1999, TiVo has distrupted the television entertainment industry with innovative solutions that navigate the "content chaos" challenge of the market.

Summary

See Responsibilities and Ideal candidates.

Responsibilities

Support both internal initiatives and projects for our clients using advanced statistical/econometric techniques (e.g. logistic regression, time series, optimization, etc.)
Work with the major players in advertising – Fortune 500 brands, media agencies, television networks, cable/satellite/telco TV operators – and help enable them to improve advertising efficiency, media strategies, media delivery platforms and content
Lead an energetic team of experts in the rapidly-growing field of behavioral audience research – people who are obsessed with television and the evolving media landscape and who want to help make it better

Ideal Candidate

**Here’s what you’ll need to be successful:**

* 10+ years’ experience, applying advanced statistical techniques in a business environment
* Demonstrated statistical/econometric modeling skills using SAS, R and/or other statistical modeling software
* Hands-on experience working with statistical techniques such as regression, time series regression, weighting, and marketing mix models
* Ability to interpret analytic results and explain technical information to a non-technical audience
* Experience with SQL and extremely large data sets
* BS required, MS/PhD a plus, in a quantitative discipline (Statistics, Computer Science, Applied Mathematics, Economics, Operations Research, etc.)

**Nice-to-haves:**

* Experience in NoSQL data environments / Hadoop ecosystem
* Experience with public / private cloud hosting environments
* Experience working with TV set-top box (STB) behavioral data and/or Internet cookie data
* Experience working with television ratings data and vendors (e.g. Nielsen, Rentrak, Kantar), Internet research data and vendors (e.g. comScore, Nielsen, Quantcast, etc.), TV program guide data and vendors (Tribune Media Services/Gracenote, Rovi, FYI, etc.), consumer data and vendors (Experian, Acxiom, etc.)
* “Programmatic TV” or data-oriented digital adtech experience (DMP, DSP, SSP, Ad Network, etc.)
* Advertising agency / media buying agency experience
* TV Geek cred (e.g. AV Club membership, coax/TP cable termination, remote control programming, etc.)

Here’s what you’ll need to be successful:

10+ years’ experience, applying advanced statistical techniques in a business environment
Demonstrated statistical/econometric modeling skills using SAS, R and/or other statistical modeling software
Hands-on experience working with statistical techniques such as regression, time series regression, weighting, and marketing mix models
Ability to interpret analytic results and explain technical information to a non-technical audience
Experience with SQL and extremely large data sets
BS required, MS/PhD a plus, in a quantitative discipline (Statistics, Computer Science, Applied Mathematics, Economics, Operations Research, etc.)

Nice-to-haves:

Experience in NoSQL data environments / Hadoop ecosystem
Experience with public / private cloud hosting environments
Experience working with TV set-top box (STB) behavioral data and/or Internet cookie data
Experience working with television ratings data and vendors (e.g. Nielsen, Rentrak, Kantar), Internet research data and vendors (e.g. comScore, Nielsen, Quantcast, etc.), TV program guide data and vendors (Tribune Media Services/Gracenote, Rovi, FYI, etc.), consumer data and vendors (Experian, Acxiom, etc.)
“Programmatic TV” or data-oriented digital adtech experience (DMP, DSP, SSP, Ad Network, etc.)
Advertising agency / media buying agency experience
TV Geek cred (e.g. AV Club membership, coax/TP cable termination, remote control programming, etc.)

Compensation and Working Conditions