Senior Data Scientist
2001-30000
Other
What are you going to do
Essential skills and knowledge
- Safety & working environment.
- Uphold and be a role model for company's core values, incident free and approved behaviours.
- Help maintain motivation, team spirit and camaraderie.
- Continuously improve ways of working through 'inspect and adapt', fostering a growth and collaborative mindset on the different stakeholders the Digital team works with.
- Study: Ideation and experimentation
- Support use case framing providing input regarding company's readiness in terms of data and best modelling methodology for the use case idea.
- Conduct data science studies through complex quantitative analysis and modelling independently and efficiently.
- Develop algorithms and data driven analytical solutions to enable in-house uc building.
- Translate the output of analysis into practical recommendations.
- Use case: Envisioning & conceptualization
- Participate proactively in the design strategy in terms of technological choices, implementation of platforms & definition of priority subjects under the leadership of the Lead Data Scientist.
- Create technical specifications of the models and requirements for integration for the technical scope of work.
- Understand company data sources and performs queries to translates business requirements into data-driven solutions.
- Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters.
- Facilitate market scouting and vendor selection during Call for Tenders (CFT), evaluating bidders' technical capabilities.
- Manage data science pilots (big data and / or GenAI, Machine Vision), MVP or UC in coordination with business and Digital Business Solutions SMEs.
Essential skills and knowledge
- An advanced degree in data science, statistics, computer science, or a related field.
- At least three or more years of experience in data analytics, data science, machine learning, or similar roles.
- Proficiency in programming languages such as Python, R, or SQL.
- Advanced knowledge of data analysis, cleaning, and preparation.
- Understanding of machine learning, deep learning, and modeling tools.
- Strong problem-solving and critical thinking skills.
- Excellent verbal and written communication skills.
JOB SUMMARY