About this role
The team is seeking a Senior Data Scientist to join their innovative team. In this role, you will leverage advanced analytics and machine learning techniques to drive insights that enhance urban mobility solutions. You will work on projects that aim to improve the safety, convenience, and reliability of people flow in cities.
Key Responsibilities:
- Develop and implement predictive models to analyze data related to elevator and escalator usage.
- Collaborate with cross-functional teams to identify data-driven opportunities for product enhancements.
- Utilize statistical analysis and machine learning algorithms to extract meaningful insights from large datasets.
- Present findings and recommendations to stakeholders in a clear and actionable manner.
- Stay updated on industry trends and emerging technologies to continuously improve data science practices.
Required Skills & Qualifications:
- Strong proficiency in programming languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate insights effectively.
- Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).
- Proven experience in statistical analysis and data mining techniques.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience:
- Minimum of 5-8 years of experience in data science or a related field, with a focus on predictive modeling and analytics.
What we offer:
- Opportunity to work in a dynamic and innovative environment.
- Engage in projects that have a meaningful impact on urban living.
- Professional development and growth opportunities within a global organization.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.