Data Scientist, Statistics & Decision Science - Leading Social Networking Service (Portola Valley,
Responsibilities Build inferential/visual systems that leverage and integrate with Facebook's various data infrastructures.
Work closely with other operational and engineering teams to encourage statistical best practices with respect to experimental design and data analysis.
Develop and demonstrate improved analysis methodologies and educate stakeholders throughout the company.
Requirements Ph.
D.
in a relevant technical field, or 4
years experience in a relevant role Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner Fluency with scripting languages such as Python, Ruby, or PHP Familiarity with relational databases and SQL-like query languages Expert knowledge of a scientific computing language such as R, Python, or Julia Experience working with data-distributed query tools a plus (Hadoop, Hive, Presto, etc.
) One or more of the following:
-Experience designing batch inference algorithms for data distributed statistical computing platforms such as spark/shark and/or -Experience designing distributed, asynchronous streaming inference algorithms.
-Experience with large-scale, performant topic modeling, factor modeling, or matrix factorization.
-Experience with performant spatio-temporal smoothing and geospatial visualization.
Source:
.
Estimated Salary: $20 to $28 per hour based on qualifications.
Work closely with other operational and engineering teams to encourage statistical best practices with respect to experimental design and data analysis.
Develop and demonstrate improved analysis methodologies and educate stakeholders throughout the company.
Requirements Ph.
D.
in a relevant technical field, or 4
years experience in a relevant role Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources Ability to communicate complex quantitative analysis and analytic approaches in a clear, precise, and actionable manner Fluency with scripting languages such as Python, Ruby, or PHP Familiarity with relational databases and SQL-like query languages Expert knowledge of a scientific computing language such as R, Python, or Julia Experience working with data-distributed query tools a plus (Hadoop, Hive, Presto, etc.
) One or more of the following:
-Experience designing batch inference algorithms for data distributed statistical computing platforms such as spark/shark and/or -Experience designing distributed, asynchronous streaming inference algorithms.
-Experience with large-scale, performant topic modeling, factor modeling, or matrix factorization.
-Experience with performant spatio-temporal smoothing and geospatial visualization.
Source:
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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