(Senior) Data Scientist


Overview

We are looking for a (Senior) Data Scientist to join Pearson’s AI Products and Solutions team. Our mission is to enable the development of AI-first, outcome-driven products to improve learning experiences. 

The position provides the opportunity to engage in cutting-edge research in a highly-collaborative environment that feels more like a startup than a big company. You will prototype and implement data-driven products and services that will have an impact on millions of learners around the globe.

This position requires a broad set of skills around statistical modelling and machine learning. Ideally, you should have experience with various types of ML algorithms. Most importantly, you need to be self-sufficient and comfortable with balancing the uncertainty, complexity and ambiguity of research with the need for predictable, incremental software development.

Responsibilities

  • Designing, implementing, evaluating, and improving statistical models and machine learning algorithms (classic and deep neural networks)

  • Evaluating promising technologies (e.g. frameworks, libraries, third-party integrations)

  • Staying up to date with the state of ML applications in education (esp. adaptive learning and predictive learning analytics)

  • Creating technical documentation, incl. patent applications

  • Sharing your work results internally and externally (e.g. talks and workshops at conferences and meetups, journal publications)

  • We work in agile teams in which members can wear many hats, so besides building models, you’ll also have the opportunity to work on other project aspects, e.g. designing efficient solutions for large-scale data processing, operationalizing and optimising models, etc.

Qualifications

Key

  • Good knowledge of statistics and machine learning theory

  • Experience with applied statistics and machine learning

  • Experience with ML frameworks, esp. Keras and/or TensorFlow

  • Proficiency in Python and data wrangling

  • Proficiency in SQL and relational databases

  • Proficiency with Linux or Unix-like systems

  • Experience with working in a diverse, remote, asynchronous team

  • Proficiency in written and spoken English

Preferred

  • Experience with psychometric models

  • Proficiency with Git-based code review

  • Knowledge of best practices for software engineering

  • Experience with cloud data processing, preferably on AWS or GCP

  • Experience with big data processing frameworks, e.g. Spark

  • Experience with other programming languages, e.g. C++, Scala, Go

  • Experience with Docker

  • Experience with Jupyter Notebook

Offer

  • Full-time position at the Pearson Poznań office

  • Salary range of 12 500 – 25 000 zł, depending on seniority

  • Flexible work hours and remote work after a period of on-site onboarding

The data controller is Pearson IOKI sp.z o.o. with its registered office in Poznań (60-529) at ul. Dąbrowskiego 77A, which can be contacted by post at the address above or by e-mail at incydenty@ioki.com.pl. Your personal data will be processed for the purposes of conducting and settling the recruitment process. You have the right to access, correct or delete them, but also limit the extent of data processing and lodge a complaint with the President of the Office for Personal Data Protection.