Overview
Placement Type:
Temporary
Compensation:
£361-£400 per day(PAYE Inside IR35)
Start Date:
Asap
Data Scientist, Analytics Duties
Data Scientist (Analytics) is to help teams make better data-driven decisions. This is done in the following way:
Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of products Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products Partner with Product and Engineering teams to solve problems and identify trends and opportunities Inform, influence, support, and execute our product decisions and product launches May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors Demonstrate good judgment in selecting methods and techniques for obtaining solutions Perform data analyses on tactical (feature-level) and strategic (team objectives and goals) work to drive team direction Develop strategic narrative based on analytical insights and priorities Think about key questions and metrics to define success for any product/feature.
In connection with these duties, may apply knowledge of the following:Performing quantitative analysis including data mining on highly complex data sets Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Communicating the results of analyses to product or leadership teams to influence strategy Machine learning techniques ETL (Extract, Transform, Load) processes Relational databases Large-scale data processing infrastructures using distributed systems Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
THE ROLE
We have 3 areas in Experiences: Organic (focusing on consumers), Paid (focusing on business/advertisers), Platform (infra to help scale the other two)
We are looking for a Data Scientist to join our Paid Experiences team. Specifically, this will work with our Engineers, Designers and Product Managers to: Understand what integrity experiences prevent advertisers from running ads successfully Help advertisers (self-)remediate to unblock their campaigns, while protecting the organisation from harm
WHO WE ARE LOOKING FOR
Excited about giving millions of users a day a more supportive integrity experience when they face enforcements or encounter harm on the platform Excited about optimising systems for scale at the intersection of user facing experiences and platform capabilities Enjoys thinking through how we best form partnerships with other teams and how scalable solutions should be governed effectively. Enjoys getting their hands dirty to understand data and system disconnects and can drive insightful root-cause-analysis
Minimum Qualifications
Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field. Requires knowledge or experience in the following: Performing quantitative analysis including data mining on highly complex data sets. Data querying language: SQL Scripting language: Python Statistical or mathematical software including one of the following: R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Machine learning techniques Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics
