High Performance Data Engineer

4 days ago

Stockholm, Stockholm, Sweden emagine Consulting Full time

Data Scientist Job Description at emagine Consulting

The ideal candidate will have a proven track record of building and deploying high-performance, stable, scalable systems that drive business growth. They will be an exemplary team member who drives best practices and sets standards for the team. As a key influencer in the team's strategy, they will contribute significantly to team planning and make informed decisions that balance short-term and long-term business needs.

The perfect candidate will have a background in a quantitative or technical field, with experience working with experimentation on large datasets, strong statistics, analytics, and data-driven decision making. They will be results-oriented, a self-starter, and have demonstrated success in using analytics to drive product growth and success.

As a Data Scientist at emagine Consulting, you will delight in data science and leverage AI/ML/RL to drive business decisions for hundreds of millions of customers across web, mobile, and connected devices. Key responsibilities include:

  • Expertise in Python language, including asynchronous, non-blocking, functional programming styles and implementation.
  • Strong SQL & NoSQL experience and performance tuning, with expertise in Databricks Platform (SQL, Compute, Clusters, ML, Workflows).
  • Experience with DBT (Data Build Tool) in building and architecting data pipelines and analytics workflows, including unit testing and data testing of DBT-based SQL & Python models.
  • Experimentation design and A/B testing, with expert knowledge of statistical analysis, including P-value, T-Test, Lift calculations for experimentation analysis.
  • Machine learning and reinforcement learning systems (ML/RL), including building ML models, ML operations, and feature engineering, with related tooling for shared feature stores, release, and deployment management.
  • Experience working with Exploit vs Exploration problems and related Bandit algorithms for Experimentation, including Contextual Multi Armed Bandits, Epsilon-*, Search, Ranking, Markov Chains, Attribution, Decision, Thompson Sampling, and other families of algorithms.
  • Quantitative analysis, machine learning, modeling, statistics, attribution, research, and algorithm development.
  • Demonstrated ability to work in a highly collaborative way on large-scale projects, with excellent communication skills both written and verbal.
  • Required MS Degree or PHD in Computer Science, Maths, Statistics, or equivalent experience.

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