Data Architect

4 weeks ago

Stockholm, Stockholm, Sweden emagine Consulting Full time

The ideal candidate for this Data Scientist role at emagine Consulting has a proven track record of building high-performance, stable, and scalable systems that have been successfully shipped to customers in production.

They drive best practices and set standards for their team, contributing significantly to team planning and strategy. This collaborative leader makes other engineers and team members more productive by sharing knowledge and helping to tie-break key technical decisions.

The perfect candidate will have a background in a quantitative or technical field, experience working with experimentation on large data sets, strong statistics, analytics, and experience in data-driven decision making and machine learning.

They are focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.

Key Responsibilities:

  • Expert in Python language.
  • Expert in Python Notebooks Data Science Libraries (Scipy, Numpy, Pandas, Scikit-learn).
  • Asynchronous, non-blocking, functional style of programming and experience implementing with Python.
  • Strong SQL & NoSQL experience and performance tuning.
  • Expert in Databricks Platform (SQL, Compute, Clusters, ML, Workflows).
  • Strong DBT (Data Build Tool) experience in building and architecting data pipelines and analytics workflows.
  • Experimentation design and A/B testing.
  • Expert knowledge of statistical analysis.
  • Experience in machine learning and reinforcement learning systems (ML/RL) and building ML models, ML operations and feature engineering.
  • Experience of Exploit vs Exploration problems and related Bandit algorithms for Experimentation.
  • Experience working in fields of quantitative analysis, machine learning, modeling, statistics, attribution, research and algorithm development.
  • Demonstrated ability to work in a highly collaborative way on large scale projects.
  • Excellent communication skills both written and verbal.
  • Required MS Degree or PHD in Computer Science, Maths, Statistics or equivalent experience.

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