Data Scientist
Staff Solutions Recruitment
5d ago
source : Job Placements


An opportunity exists for a Data Scientist with a client in the Automotive industry. The Data Scientist is a key role to plan and implement E2E data analytics solutions and technology.


Duties :

  • Explore, analyse and interpret large internal and external datasets using state of the art statistical tools
  • Develop data models and algorithms for data preparation, exploration, mining and modelling
  • Implement and evaluate machine learning algorithms for predictive analytics and process optimization up to visualization of results
  • Design and implement metrics, dashboards and reports to support business decisions
  • Document results and perform know-how transfer to team members and interested internal business departments
  • Flexibility to support hands-on data engineering and data cleansing activities where needed
  • Collaboration in agile teams to design, implement and deploy end to end data science solutions
  • Ensure high quality results (statistical and technical) for the deliverables of the Innovation Hub
  • Guide and mentor junior team members
  • Ensure continuous enhancements and quality of the technology and methods applied
  • Requirements :

  • University degree in the field of Computer Science, Mathematics, Statistics or Information Systems-degree
  • Proven track record of at least 5 years applied data science / machine learning
  • Applied data science skills in complex environments to support customer facing and / or corporate processes
  • Technical leadership experience to be able to define the data technology roadmap as part of a cross functional team
  • Ability to convey complex technical terms to a non-technical audience
  • Experience in leading agile product teams to achieve outstanding data solutions
  • Implementation experience for data technology and automation of the data science work flow
  • Must have worked on Python / R / Java with machine learning algorithms such neural nets and SVMs
  • Experience in MS Azure Data Lake, Databricks and Synapse and Analysis Services
  • Experience in MS Power BI, SQL Analysis Services, SQL Database Development
  • NoSQL experience
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