Data Science Expert for Financial Institution
1 week ago
Curinos empowers financial institutions to make informed, data-driven decisions through its proprietary data and analytics ecosystem. With a deep understanding of the financial services industry, Curinos' technology allows clients to anticipate customer needs and optimize their go-to-market strategies.
This role involves collaborating with business partners to develop actionable insights that drive consumer engagement and loyalty. As a Staff Data Scientist, you will be responsible for designing and implementing machine learning models that enhance our FinTech product platforms.
The ideal candidate has 5+ years of experience in delivering applied machine learning or data science capabilities in consumer-facing applications. A strong working knowledge of Python-based machine learning frameworks, such as PySpark and Databricks, is required. The successful candidate will also possess excellent communication skills and the ability to influence stakeholders towards data-driven business goals.
We are offering a competitive salary of $160,000 - $200,000 per year, depending on experience, plus benefits and opportunities for professional growth.
Key Responsibilities- Design and implement machine learning models to enhance customer engagement and loyalty.
- Collaborate with business partners to develop actionable insights that inform go-to-market strategies.
- Partner with machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
- Act as a subject matter expert in machine learning and statistical modeling, providing guidance and best practices to the team.
- Develop and maintain high-quality datasets and data processing pipelines that support implementation in our platform software.
- 5+ years of experience in delivering applied machine learning or data science capabilities in consumer-facing applications.
- Strong working knowledge of Python-based machine learning frameworks, such as PySpark and Databricks.
- Excellent communication skills and ability to influence stakeholders towards data-driven business goals.
- Advanced degree or equivalent career experience in Computer Science, Applied Mathematics, Statistics, or a related technical discipline.
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