Company Name:-
Zynga

Job Location:-
Austin, TX 78717

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionZynga is a leading developer of the world’s most popular social games, played by tens of millions of people around the world every single day.

To-date, more than 1 billion people have played our games across Web and mobile, including FarmVille, Zynga Poker, Words With Friends, Harry Potter: Puzzles & Spells, Merge Dragons!, Empires & Puzzles, Hit it Rich! Slots, Toy and Toon Blast, and CSR Racing.

The Marketing Analytics team has been charged with supporting audience growth functions across our portfolio.

We utilize the vast amount of internal and third-party data available to provide reporting, tooling, and automation solutions that elevate the various functions in Zynga’s Marketing organization.

Our roadmap has one purpose: to expand Zynga’s ability to reach new audiences.

As a lead data scientist, you will lead our brand marketing function, guiding our efforts to turn data into prescriptive insights with sophisticated analytical and statistical tooling.

You will work closely with analytics leadership and marketing professionals to find opportunities, design solutions, and utilize team resources to engineer products.

Key to this role will be experience with statistical modeling, especially in the realms of causal inference, econometrics, and media mix modeling.

The demands on this team are constantly evolving with the needs of Zynga’s dynamic marketing teams, so it is important that you be able to adapt and utilize resources efficiently.

Responsibilities:
Collaborate with partner teams to define areas of opportunity and set priorities
Work with team leadership to plan the roadmap and drive initiatives
Coordinate with project management to ensure efficient prioritization
Supervise the larger technical direction of projects
Contribute expertise in product ideation and development
Design and evaluate innovative ways to advance analytics at Zynga
Manage a small team of analytics professionals
Desired Skills and Experience:
Demonstrated experience with some or all of the following: machine learning, data mining, predictive modeling, experimental design, computational analytics/optimization, data visualization, application development
Expertise in statistical framewor

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