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Data Scientist (DV, SC or BPSS cleared)

Zazu Digital
Job LocationLondon
EducationNot Mentioned
Salary£40,000 - £90,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Data Scientists needed for a Consultancy specialising in Data Engineering, Data Science and Cloud infrastructure. As a Partner driven organisation they focus on customer success and fostering an excellent internal culture for the team. By doing so it enables them to implement rapid agile digital transformations across a variety of industry which is further augmented by their accelerators and automation toolsetsThey believe that their people are what has made them the company they are today. They have chosen to adopt a partnership model, ensuring that they all share in the success. With only 4 levels in their hierarchy between consultant and partner, everyone is empowered to have a positive influence in the way we do things.Please note that a lot of their work is in government, so will require DV or SC clearance or the ability to acquire. Role & Responsibilities:

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
    • Essential Requirements
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • They’re looking for someone with ideally 4+ years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
    • o Coding knowledge and experience with several languages: C, C++, Java,o JavaScript, etc.o Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.o Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.o Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.o Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.o Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.o Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.o Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Required skills
  • Algorithms
  • Data Mining
  • Data Models
  • Machine Learning
  • Python

    • Keyskills :
    Algithms Data Mining Data Models Machine Learning Python

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