Senior Data Scientist

Anagog Ltd.

About The Position

We are looking for daring and talented Data Scientist to join our data science team!

Within Data Science team, you will research, evaluate and deliver innovative ML solutions, taking part in ongoing Anagog effort to widen capabilities to understand human behavior in the physical world, the personal context and predict their future behavior, while achieving unmatched privacy control.    

 

Responsibilities

  • Be involved in cross-organizational projects. Work closely with developers, analysts, product managers, marketing and sales
  • Run end-to-end ML pipelines: starting from understanding business pain points and technological opportunities, through data collection, exploration, cleanup, research, feature engineering, model building, to reference implementation and production deployment
  • Create and maintain project plans and timelines
  • Define scope, priorities, timelines and identify risk strategies


Requirements

  • 2+ years of hands-on experience in development and evaluation of industrial data-driven models
  • Vast expertise in ML techniques and concepts (such as multivariate analysis, deep categorical encoding, causal ML, RL)
  • Proven ability to generate new ideas, evaluate their feasibility and performance, improve and bring to production
  • Strong programming skills in Python
  • Mastering advanced data visualization techniques – advantage
  • Mastering complex data pipeline frameworks – advantage
  • Knowledge in marketing automation systems – advantage
  • Experience with federated learning – advantage
  • Knowledge of Swift/Kotlin/Go – advantage 
  • Knowledge of iOS and Android internals – advantage
  • Contribution to FOSS projects – advantage
  • Successful track record from data science competitions – advantage

 

Personal attributes

  • Avid learner
  • Create enthusiasm around
  • Results oriented
  • Startup environment driven individual
  • Reliable person
  • Self-discipline
  • Excellent personal communication abilities
  • Self-motivated and capable of solving challenging real-world problems
  • High professional standards - strong motivation for individual and organization success



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