FAQs
What is the role of a Data Scientist at Veolia North America?
The Data Scientist will analyze data, observe trends, and solve issues related to building optimization, while working with a team of analysts, engineers, and other data scientists.
What are the primary responsibilities of the Data Scientist position?
Responsibilities include collecting and cleaning data, transforming it for analysis, building tools for automation, analyzing large data sets, creating dashboards, developing predictive models, and managing projects independently.
What qualifications are needed for the Data Scientist position?
A Bachelor's degree in Engineering, Computer Science, Mathematics, or related fields, along with 1-3 years of data analysis or relevant experience is required.
What programming languages should the ideal candidate be proficient in?
The ideal candidate should have knowledge of programming languages such as SQL, Python, and R.
Are there any specific business intelligence tools that candidates should be familiar with?
Yes, candidates should be familiar with business intelligence tools such as Tableau, Sisense, or Power BI.
Is experience with machine learning and AI required for this position?
Yes, experience with machine learning and AI is one of the preferred qualifications for the Data Scientist role.
How does Veolia North America support the professional growth of its employees?
Veolia North America offers a potential career growth trajectory along with exciting challenges and opportunities for its employees.
What benefits does Veolia North America provide for this position?
Benefits include paid time off, health, dental, and vision insurance, and participation in an employer-sponsored 401(k) plan.
Is there a specific focus on data quality and management in this role?
Yes, the Data Scientist is expected to assess data quality and suitability for analytics and address any issues rigorously.
What type of environment does Veolia North America promote regarding diversity and inclusion?
Veolia North America is committed to diversity and inclusion, providing equal consideration to all applications without discrimination.