Staff Engineer (Data Scientist)

The ams OSRAM Group is a global leader in optical solutions. By adding intelligence to light and passion to innovation, we enrich peoples' lives. This is what we mean by Sensing is Life. Our around 26,000 employees worldwide focus on innovation across sensing, illumination and visualization to make journeys safer, medical diagnoses more accurate and daily moments in communication a richer experience.

Responsibilities:

1. Develop analytical model to predict/forecast user behaviors to meet business requirements and drive business growth.
2. Communicate the results to management via data visualizations and presentations.
3. Develop Machine learning, Deep learning and AI algorithms to solve business cases or problems.
4. Deploy and integrate the model with other applications using Python and other related technologies for application development and deployment.
5. Create various documentation required as part of implementation.
6. Ability to meet the timelines set by management on change requests raised.

Minimum Requirements:

1. Master’s Degree in a technical field like Math, Statistics, Computer Science, Data Science, Artificial Intelligence, Engineering, Operations Research, or Physics.
2. At least 3 years of experience working within a corporation or consumer-focused environment.
3. Proven expertise in data science and analytics for key areas such as probability and statistics, time-series analysis, pattern recognition, optimization, and predictive modeling.
4. Ability to clean and transform messy data in Python.
5. Ability to extract data from SQL and/or NoSQL databases is required.
6. Hands-on experience working with cloud services such as MS Azure is required.
7. Experience with fast prototyping using open source technologies such as R and Python.
8. Experience in implementing machine learning solutions in Python, R, or similar languages.
9. Experience with data visualization tools such as Power BI, Qlik Sense, D3, R-Shiny, Dash, etc.
10. Ability to develop, train, evaluate, and present statistical models.
11. Experience with front-end development for data analytics applications is a plus.
12. Experience with key software development processes such as testing and version control using git repositories.
13. Ability to collaborate with data scientists, software developers, business partners, and other stakeholders.
14. Experience with agile methodology and project management is highly desired.