Job Summary
Our client in the manufacturing industry is currently looking to employ a Data Scientist.
Main purpose of the position:
The Data Scientist is a key role to plan and implement E2E data analytics solutions and technology. As this is a new technology for the organisation, this senior role is key to achieve high quality analytics solutions. The key responsibility is to identify and deliver advanced data analytics cases and in the future potentially beyond the organisation. This role deals with highly complex business topics that have medium to high impact across the organisation.
Responsibilities:
- 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
- Guide and mentor junior team members
- Ensure continuous enhancements and quality of the technology and methods applied
Qualifications/ Experience:
- 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
- Good understanding of general business processes
- Delivered technical trainings to different stakeholders
- Experience in working with Senior Management
- Professional experience in working for a Tech company and/ or start-up
Please consider your application unsuccessful should you not receive a response within 2 weeks of applying.
