Main Summary
The ideal candidate will collaborate with teams globally and locally to deploy solutions that align with both market needs and the company’s digital transformation goals.
They have: IoT Integration, AI & ML Implementation : Install and configure IoT devices for vending machines and coolers with real-time monitoring and data analytics. Enable AI&ML models for defined use cases.
Responsibilities
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Combine models through ensemble modeling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
Qualifications & Experience
- Bachelor's in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- 3-5 years of proven experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Understanding of machine-learning and operations research.
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset.
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
- Analytical mind and business acumen.
- Strong math skills (e.g. statistics, algebra).
- Problem-solving aptitude.
- Excellent communication and presentation skills.
Main Summary
The ideal candidate will collaborate with teams globally and locally to deploy solutions that align with both market needs and the company’s digital transformation goals.
They have: IoT Integration, AI & ML Implementation : Install and configure IoT devices for vending machines and coolers with real-time monitoring and data analytics. Enable AI&ML models for defined use cases.
Responsibilities
- Identify valuable data sources and automate collection processes.
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
- Build predictive models and machine-learning algorithms.
- Combine models through ensemble modeling.
- Present information using data visualization techniques.
- Propose solutions and strategies to business challenges.
- Collaborate with engineering and product development teams.
Qualifications & Experience
- Bachelor's in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
- 3-5 years of proven experience as a Data Scientist or Data Analyst.
- Experience in data mining.
- Understanding of machine-learning and operations research.
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset.
- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
- Analytical mind and business acumen.
- Strong math skills (e.g. statistics, algebra).
- Problem-solving aptitude.
- Excellent communication and presentation skills.