Data Scientist V

The role of the 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.
• 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.
• SQL.
• Python / R.
• Experimentations for user facing products, Narrative excellence, Worked cross functionally, influencing skills.

THE ROLE

• We have several teams within Transparency & Appeal and specifically looking for someone to cover Appeals for account enforcements, i.e. when we take an action on a user or advertiser’s account.
• This is our highest priority area and we are looking for a seasoned data scientist to support us both strategically and operationally.
• You will work with our Engineers, Designers and Product Managers to:
  • Improve the mechanisms that exist to appeal (e.g. Consider account disables, feature limits and lightweight enforcements).
  • Identify how we meet the needs and expectations of our users and what opportunities there are to improve.
  • Balance reducing harm on the platform with protecting voice and revenue, alongside regulation and cost guardrails.
  • Align the business on your improvement ideas and support their implementation.
• You will also work closely with data partners to establish or improve our measurement capabilities in this space, ensuring that the team stays on target at all times.

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.
• 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.
• Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics.

Client Description

Our Client is the largest social media company in the world. They have substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. With the mission of bringing people together, they now boast over 2 billion users, and are rapidly developing as they influence the world around us.

Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.

#J-18808-Ljbffr