Job Description
Responsibilities:
1. Experience in one or more of the following areas: statistical modelling, machine learning, AI, data science, forecasting, optimization.
2. Programming skills and the ability to quickly learn new technologies. Experience with R, Python, and other statistical tools is a plus.
3. Familiarity with relational databases and SQL at an intermediate level, as you'll work with various datasets.
4. Strong understanding of a wide range of statistical techniques.
5. Ability to interpret and present findings to non-technical audiences. Experience in data visualization and deriving insights from diverse data sources is advantageous.
6. Collaborate with customers across multiple sectors, applying research and technology to solve real-world commercial problems.
7. Contribute as a key member of the data science team, shaping products and driving growth by transforming customer operations.
8. Interface with diverse stakeholders, from academic experts to onsite clients, requiring independence and responsibility.
9. Expertise in machine learning, data science, and AI, with a commitment to staying updated on technological advances and research.
10. Communicate findings clearly to multidisciplinary teams and stakeholders.
#J-18808-Ljbffr