Data Scientist at StackAdapt

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StackAdapt

Data Scientist

Remote

Full Time

#Engineering

#Data Science

#Machine Learning

#Statistics

#Optimization

#Coding

#Data Structures

#Algorithms

StackAdapt is looking for a Data Scientist

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StackAdapt is a leading technology firm that empowers marketers to engage and convert audiences with precision. Our AI-powered platform performs 465 billion automated optimizations every second, seamlessly connecting brand and performance marketing to drive measurable results. We serve thousands of publishers and advertisers globally, processing millions of requests each second to make billions of decisions. As we continue to expand our data science initiatives, we are looking for a talented Senior Data Scientist to join our remote-first engineering team.

Key outcomes

  • Innovate machine learning algorithms to maximize return on investment and advertising performance, ranging from creating new methods to refining state-of-the-art techniques.
  • Write production-ready code, often in collaboration with data engineers, to implement your novel machine learning solutions.
  • Prototype potential algorithms and pipelines, test them against historical data, and iterate based on your findings.

Requirements

  • A Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field.
  • A comprehensive understanding of statistics, optimization, and machine learning.
  • Proficiency in coding, data structures, and algorithms.
  • The ability to take ambiguously defined tasks and break them down into actionable steps.
  • A collaborative mindset and a desire to work within a friendly, supportive environment.

Compensation

We offer a competitive salary and a comprehensive benefits package designed to support your well-being and professional growth. Our perks include:

  • Remote work flexibility, including a policy that allows you to work from anywhere in the world for up to 90 days per year.
  • Private medical insurance.
  • 401k and company pension scheme enrollment.
  • Paid time off and a generous parental leave policy.
  • Work-from-home reimbursements.
  • Dedicated support for personal development initiatives, such as courses and conferences.

How to apply

If this position aligns with your experience and career goals, we invite you to submit your application. We look forward to reviewing your background. Please note that due to the high volume of interest, we will only contact those who are shortlisted for an interview.

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StackAdapt

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