Experfy Inc

Industrial Affairs (IA) Data Scientist

Job description

Opportunity Description

The Industrial Affairs data scientist has a key role in defining, executing data science solutions like, predictive models (supervised, unsupervised), data pipelines or graph-based approaches. Developed models will be integrated in existing could-based applications and deployed on a global scale. Moreover, the IA Data Scientist will drive the development of novel data products within our data platform as well as executing/evaluating the proof of concept (cf. micro apps) together with clients.

ROLE REQUIRES STRONG INTERFACES WITH:

  • Client's IA Data transformation leader
  • Digital Product Owners
  • ITS organization
  • Fit4Future change leaders
  • Other data scientists across the digital DS organization

Essential experience:

  • Master’s degree in mathematics, computer science, engineering, physics,
    statistics, economics, computational sciences or a related quantitative
    discipline and 5+ years of Data Science experience, or PhD + 3years of with
    relevant work & domain experience.
  • Direct experience with any of the following techniques: advanced NLP
    modeling, machine learning, semi-supervised, deep learning, graph neural
    networks, Bayesian networks and numerical optimization
  • Experience deploying (micro) apps cf. Shiny or Flask
  • Visual analytics and/or data story telling with Power BI or other
  • Experience with some aspects of pharmaceutical operations, specially
    manufacturing
  • Expertise with the core data science languages (such as Python, R), and
    familiarity & flexibility with data systems (e.g. SQL, NoSQL, knowledge graphs)
  • Comfortable working in cloud and high-performance computational
    environments (e.g. AWS, Apache Spark)
  • Excellent written and verbal communication, business analysis, and consultancy skills
  • Experience working in an agile environment

Desirable experience:

  • Disciplined AI / ML development (CI / CD, Orchestration)
  • Experience with Tableau or Power BI
  • Regulatory, GxP, or similar standards
  • Orchestration, AWS stepfunctions, Apache Airflow or Kedro

Requirements

Data Scientist Responsibilities:

  • Build models, algorithms, and performance evaluation by writing highly
    optimized, deployable code and using state-of-the art machine learning
    technologies
  • Define and implement architectures for predictive algorithm for cloud-based
    manufacturing application
  • Industrializing solutions together with small teams (pods, scrum) in an agile
    way of working
  • Proficient at collecting and mining data from disparate data sources, and
    willing to dig deeper and understand the process that creates the data
  • Work with a data lake as well as graph databases (cf. neo4js and AWS
    Neptune)
  • Use data analysis, visualization, storytelling, and data technologies to scope,
    define and deliver AI-based data products to accelerate and data product
    deployments
  • Developing digital data products and pipelines for IA that scale
  • He/she will be able to generate work product that includes interactive
    visualizations, presentations, publications, web applications, predictive
    algorithms, and API
  • Document insides and architecture as well as planning using Jira/Confluence

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