Data Science Leader
4 days ago
We are seeking a highly skilled Data Science Manager to join our team at Cedent Consulting Inc. The ideal candidate will possess a strong background in statistical and data science methods, including supervised and unsupervised learning, time series forecasting, neural networks, and natural language processing.
As a Data Science Manager, you will be responsible for leading and executing multiple data science projects with urgency and delivering meaningful insights to drive business decisions. You will collaborate with stakeholders and partners throughout the organization to understand business needs and advance existing initiatives while pursuing new research topics across various domains.
The role requires broad knowledge of modern techniques in scripting, querying databases, and using distributed data/computing technologies. Experience in financial modeling, analytics, and investment systems is preferred. Proven experience managing a team and delivering to a diverse client base is essential.
You will have the opportunity to work with different data architectures to derive insights and build data and analytic solutions. Additionally, you will contribute to the deployment of our Aladdin Studio toolkit to clients via research, reporting, and idea-generation projects.
Key responsibilities include:
- Leading and managing a team of analysts/associates to drive a data science focused culture.
- Collaborating with stakeholders and partners to understand business needs and advance existing initiatives.
- Executing multiple data science projects with urgency and delivering meaningful insights.
- Advancing existing initiatives and pursuing new research topics across various domains.
- Using available data to deliver meaningful insight and drive decision-making processes.
Qualifications include:
- 6-10 years of experience in a highly analytical role in a technology or financial services setting.
- Broad knowledge of modern techniques in scripting, querying databases, and using distributed data/computing technologies.
- Experience in financial modeling, analytics, and investment systems (preferred).
- Proven experience managing a team and delivering to a diverse client base.
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