Data Scientist
one.com Copenhagen
Data Scientist
one.com Copenhagen

group.ONE is looking for a Data Scientist in Copenhagen

group.ONE gathers 100+ TB of data every single day – DNS records, visits to websites, purchases in webshops, and much more. We are looking for a Data Scientist that is excited about machine learning and AI and is willing to advance group.ONE's data science capabilities. As part of our data team, you will be responsible for scoping, training, and implementing machine learning models. There are many relevant use cases, such as churn prevention, sales optimisation- and segmentation models. It is all about using data to help normal users to get more done online. You will work closely with the Marketing, Product and Engineering teams, among others.

 

What you will do

Find and assess new use cases for machine learning

  • Identify new opportunities to use Machine Learning methodologies
  • Assess value, feasibility, viability, and usability for the use cases
  • Design tests to validate assumptions early on

 

Further improve way-of-work, methods, and environment of analytics

  • Support and improve how the Group are using and interpreting A/B testing
  • Work closely with our UX & Researchers with customer segmentations
  • Work with our data engineers to connect more data sources (internally as well as external) that will enhance our data science capabilities
  • Further, streamline processes and environment of
    • Training models
    • Put models into production
    • Model delivery 

Build models for churn prevention and sales-optimisation

  • Identify important data points for the various use cases
  • Perform feature engineering to identify signals in the data
  • Choose good metrics to measure model performance
  • Evaluate models and their impact continuously

 

What we are hoping you are

  • Intelligent and result-oriented, being able to structure work independently
  • Able to explain complex topics in simple terms
  • Curious about new Machine Learning trends and potential use cases. Be an advocate for best practices and continued learning
  • Detail-oriented when needed. Being able to decide on the right level of details, e.g., knowing the difference between important data from less important, and important tasks from less important ones
  • Pragmatic, willing to use the best tool-for-the-job
  • Able to keep promises and remain a trusted business partner
  • A strong team member in a growing team of data scientists, data engineers, and BI specialists

 
What we are hoping you know

  • Professional experience with python, including python data libraries (numpy, pandas, matplotlib/seaborn, scikit-learn, tensorflow or keras), or R
  • You have knowledge of machine learning techniques such as SVMs, logistic regression, deep neural networks, cross-validation, naive bayes, feature extraction and a solid background in statistics
  • Knows various Machine learning hacks, such as how to avoid overfitting, handling unbalanced datasets and how imputation impacts your results
  • Proficient in various SQL and NoSQL databases, such as PostgreSQL, Snowflake or Hadoop
  • Experience owning a project from concept to production, including assessment of value, scoping, and final delivery
  • Knowledge of data pipelining (e.g., via Airflow) and scripting, such as Bash and Python
  • Confident in version control methodologies and tools

    We offer

    • A company ready to put your models into production and to impact our 1.1 million customers (and 2.8 million domains - increasing year-by-year)
    • A chance to shape our Machine Learning environment and how we train and implement models
    • Sparring with experts in various areas, from Linux servers, Kubernetes clusters and Data Engineering to Machine Learning. group.ONE has some of the strongest minds within open source and Linux in Denmark
    • A chance to work with a modern data stack, with tools like Snowflake, DBT, Keras, Airflow and Kubernetes


    At one.com Copenhagen you can expect

    • A full-time position with a dynamic compensation package
    • Health insurance and an annual health check
    • Pension plan
    • Healthy and variated lunch arrangement provided by Meyers Kitchen
    • A modern office environment at one of the best locations in Copenhagen right next to the Central Station
    • 5 special holidays in addition to your 5 weeks of vacation
    • Flexible working hours as well as great WFH options
    • Several annual social- and professional events both virtually and physically
    • A free website with domain and hosting, where you can choose your own domain name

    Become a part of group.ONE

    Since its establishment in 2002, one.com has been in constant development and is today part of group.ONE, which is one of the leading group companies in Europe in the administration and sale of domains, web hotels, and email. We offer an international environment where we have a high level of flexibility. As a group, we have:

    • More than 2,900,000 registered domains
    • More than 1,400,000 customers in 149 countries
    • More than 600 employees with more than 40 different nationalities
    • English as a corporate language
    • 10 major brands well established in the European market


    Diversity and Inclusion

    At group.ONE we are intentional about diversity, equality and creating an inclusive climate. We work not only across continents and countries, but also across gender expressions, generations, cultures, sexual orientations, religions, and perspectives.

    Therefore, group.ONE is an equal opportunity workplace committed to equal employment opportunity regardless of race, color, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity/ expression.

    If you have a disability or special need that requires accommodation, please let us know in your application.

    Career opportunities
    Strong social life
    Located near public transit
    International environment
    Supports diversity
    Work-life balance
    Flexible hours
    Remote friendly
    Lunch included