Responsibilities

• • Work with the Navikenz Data Scientist team to implement the most appropriate
    techniques for model selection and development for problems to be solved
  • Build algorithms and design experiments to merge, manage, interrogate and extract
    data to supply tailored reports to colleagues, customers or the wider organization
  • Test AI/ML models to select the most appropriate ones for use on a project
  • Work with the team on data sourcing and/or developing data pipeline for the
    solutions
  • Work on the data analysis and exploration work with visualization tools
  • Build clear reports that tell compelling stories about the insights learned from data
    and the proposed actions/strategies/options as a result
  • Assist the team on the model to make it scalable, maintainable and production-
    ready
  • Stay up to date with the latest technology, techniques and methods
  • Conduct research from which you develop prototypes and proof of concepts
  • Manage/maintain the repository of built ML models and monitor for opportunities
    to use built insights/datasets/code/models for other clients
  • Stay curious and enthusiastic about using algorithms to solve problems and enthuse
    others to see the benefit of your work

Qualifications/Experience

• • The ideal candidate will have a Bachelor’s, Master’s Degree in Statistics, Mathematics,
    Computer Science or another quantitative field, with around 4 to 5 years of professional
    experience working on data sets and building statistical models, and familiar with the
    following software/tools/techniques:
  • Combined knowledge of computer science and applications, modeling, statistics,
    analytics and maths to solve problems
  • Knowledge and experience in statistical, machine learning algorithms and
    techniques: Regression, Classification, Random Forest, Boosting, Decision Trees, text
    mining, social network analysis, neural networks, etc.
  • Experience with building solutions using Natural Language Processing models
  • Experience visualizing/presenting data for stakeholders using: Matplotlib, ggplot, D3,
    etc.
  • Coding knowledge and experience with several languages: Python/R/Julia,
    Java/Javascript, REST, etc.
  • Good to have experience with distributed data/computing tools: Map/Reduce,
    Hadoop, Hive, Spark, Databricks etc.
  • Good to have experience with cloud based platforms/products – AWS, Azure, GCP,
    Kubeflow, AutoML etc.
  • Should have worked with Pharma Industry for the Drug Discovery and/or Pharma
    Covigilance area