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New Data Science project in Endava!

Responsabilities:

  • Own identifying key questions, problems, KPIs and develop analytical frameworks to monitor and improve client products
  • Own the development of statistical models on large datasets to extract trends, measure results and outcomes, and predict future performance of client products
  • Present findings to stakeholders and leadership teams to influence and strengthen business decisions
  • Perform processing, cleansing, and verifying the integrity of data used for analysis
  • Enhance data collection procedures to include relevant information for the analysis
  • Select features, build and optimize various models using machine learning techniques
  • Presales proven capabilities
  • Ability to grow a team and leadership experiences are a plus

Technical knowledge:

  • Proficient in SDLC (Planned Iterative, Agile)
  • Excellent spoken and written English language skills
  • Excellent understanding of machine learning techniques such as (Gradient Boosting) Decision Trees, Naïve Bayes, SVM, Neural Networks, Deep Neural Networks
  • Proficient in using Python (mandatory) but also R or C/C++
  • Very good experience with multiple data science toolkits including numpy, scikit-learn, Keras, Tensorflow.
  • Proficient in using query languages such as SQL
  • Experience with at least one NoSQL database (such as MongoDB, Cassandra)
  • Proficient in using visualization tools
  • Excellent applied statistics skills, such as distributions, statistical testing, regression
  • Solid knowledge in project management methodologies: PMP, Prince 2, etc.
  • Solid experience in large international projects working with multicultural teams
  • Solid experience working onshore, offshore, nearshore and on site with co-located and distributed teams

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