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Data Scientist - 24-Month Contract, SAMBA

ENGINEERINGUK

Berlin

Vor Ort

EUR 60.000 - 80.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company is seeking a Data Scientist for a 24-month contract. The role involves building scalable solutions using machine learning to support business functions. Collaborate with teams to create insightful analytics and optimize customer interactions. Join a diverse team committed to innovation and inclusivity.

Qualifikationen

  • Experience with data scripting languages or statistical software.
  • Experience with machine learning and statistical modeling tools.

Aufgaben

  • Develop and validate models to optimize customer interactions.
  • Create data engineering pipelines across Audible.

Kenntnisse

Data Scripting
Machine Learning
Statistical Modeling

Ausbildung

MS in Computer Science
MS in Statistics
MS in Data Science
MS in Economics
MS in Applied Mathematics
MS in Operational Research

Tools

SQL
Python
R
SAS
Matlab

Jobbeschreibung

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Data Scientist - 24-Month Contract, SAMBA

View more categories View less categories Sector Journalism, Science and Pharmaceutical Role Professional Contract Type Permanent Hours Full Time

DESCRIPTION

At Audible, we believe stories have the power to transform lives. We work with leading creators to produce and share audio storytelling with our global listeners. We are a diverse team of dreamers and inventors committed to empowering and inspiring each other. Imagine your future with us.

ABOUT THIS ROLE

In this role, you will build scalable solutions and models to support our business functions (Content, Marketing, Product). Using methods including machine learning and simulation, you will explain, quantify, predict, and prescribe to inform critical business decisions. You will translate business goals into insightful analytics, creating value for stakeholders and customers, and communicate findings clearly to managers and senior leaders.

This position is for a 24-month contract.

ABOUT THE TEAM

Audible's Data Science team collaborates with marketing, content, product, and technology teams to solve business problems with scientific approaches. We employ advanced Data Science (DS), machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) to enhance customer targeting, content personalization, and user experience. We operate in an agile environment, managing the research, design, and development of relevant projects.

As a Data Scientist, you will:

  • Develop and validate models to optimize customer interactions
  • Create Audible-wide data engineering pipelines
  • Innovate with groundbreaking applications using cutting-edge approaches
  • Utilize causal inference and develop data visualizations
  • Collaborate with data scientists, ML experts, engineers, and other scientists within Amazon

ABOUT AUDIBLE

Audible is a leader in audio storytelling, offering immersive experiences that inspire and inform. We are a global company with an entrepreneurial spirit, passionate about making a positive impact. Our culture promotes creativity and inclusion, aligned with our mission to build equitable communities.

BASIC QUALIFICATIONS

  • Experience with data scripting languages (e.g., SQL, Python, R) or statistical software (e.g., R, SAS, Matlab)
  • Experience with machine learning and statistical modeling tools and techniques
  • MS in Computer Science, Statistics, Data Science, Economics, Applied Mathematics, Operational Research, or a related field
  • Experience in modeling and research design

PREFERRED QUALIFICATIONS

  • Experience with Python, Perl, or other scripting languages
  • Experience in a ML or data scientist role within a large tech company

Amazon is an equal opportunity employer. We value diversity and are committed to inclusivity. For workplace accommodations, visit this link. For privacy information, see our Privacy Notice.

m/w/d

Our inclusive culture empowers all Amazonians to deliver the best results. If you need accommodations during the application process, please contact your Recruiting Partner.

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