Senior Data Scientist - Time Series Analysis

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About Globus AI

At Globus AI our primary objective is to help save lives and improve the quality of life globally. We support implementation of the United Nations Sustainable Development Goals using our experience and competence in Artificial Intelligence, Data Science and Machine Learning. To support our vision, we have several projects where we develop AI based Software-as-a-Service products within healthcare.

The interest for our AI products has been overwhelming, and we are currently serving several large customers in the Norwegian market. Our goal is to further our vision by operating on a global scale, and we are looking for new mission-driven team members to join us in making the world a better place while pushing the boundaries of Artificial Intelligence.

About the role Data Scientist - Time Series Analysis

The Data Scientist at Globus AI will be responsible for data analytics and development of machine learning models. As a Data Scientist you will usually get data that has already passed through some cleaning and manipulation by the Data Engineers. However, you should be ready to work with a lot of “messy” data that could contain human, machine or instrument errors. You will be working primarily with time series data analysis, forecasting, NLP and recommendation models to solve real-life business problems. You will be working alongside other data scientists, data engineers and software developers, collaborating in a team working on several layers of our technology stack.

Job responsibilities

Relentlessly research business questions, be always curious and pro-active on how to create social impact and business value from data:

  • Clean, aggregate and integrate data from different sources, types and formats
  • Prepare data for use in predictive and prescriptive modeling
  • Deal with real-life raw data that contains human, machine or instrument errors
  • Perform exploratory data analysis
  • Develop and build machine learning models and put them into production
  • Automate insight delivery to the business stakeholders

Mandatory technical skills:

  • Experience working with the Python Data Science stack: NumPy, Pandas, Scikit-learn, matplotlib
  • Knowledge of Anaconda and Jupyter
  • Experience using Git
  • Deep knowledge of advanced statistical methods for time series data (exponential smoothing, multivariate regression, ARIMA)

Desired technical skills:

  • Experience with Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) techniques
  • Experience with deep learning frameworks, such as TensorFlow, PyTorch or Keras
  • Experience with cloud-based data science tools for Big Data analytics, such as Databricks on Microsoft Azure
  • Experience with AutoML software such as TPOT or H2O driverless AI

Personal Qualities:

  • A strong desire to contribute to making a positive impact on Sustainable Development Goals
  • Clear understanding of MVP principles and maximizing the amount of work not done
  • Innovative with ability to think out-of-the-box in order to minimize the work scope
  • Collaborative and organized, being able to focus on key priorities and deliver rapidly
  • Team player, supportive and caring
  • Naturally curious and eager to learn

We offer:

  • A positive and engaging work environment
  • Experienced and extremely motivated colleagues
  • Challenging, meaningful and engaging work tasks
  • Autonomous and flexible work conditions
  • Opportunities for a steep career path
  • Competitive salary

 Доступно соискателям с инвалидностью 

Ключевые навыки

GitBig DataPythonMachine LearningTime Series AnalysisData Science

Вакансия опубликована 22 августа 2019 в Норвегии

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