Senior Lead Data Scientist
3 weeks ago
About FIS
FIS is the world's largest global provider dedicated to financial technology solutions. We champion clients from banking to capital markets, retail to corporate and everything touched by financial services.
Job Summary
We are seeking a Senior Lead Data Scientist to join our team. The successful candidate will play a key role in extracting actionable insights from complex datasets and developing predictive models to support business objectives.
Responsibilities
- Define strategies to leverage existing large datasets and integrate new datasets to extend product capabilities and work closely with the data engineers and product engineering teams in the development of data products.
- Lead the end-to-end development of predictive models and machine learning algorithms to solve business problems and optimize processes.
- Perform exploratory data analysis, data preprocessing, and feature engineering to uncover hidden patterns and trends in large datasets.
- Collaborate with stakeholders to define project objectives, develop analytical solutions, and communicate findings effectively.
Requirements
- Minimum of five years of experience in data science or a closely related field, with a proven track record of delivering impactful solutions.
- Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation libraries and machine learning frameworks.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into analytical solutions.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
What We Offer
- A multifaceted job with a high degree of responsibility, visibility, and ownership.
- An opportunity to work with one of the fastest growing segments and products in the capital markets space with great opportunity for growth.
- Strong exposure to the exciting trading and compliance space, with excellent learning opportunities.
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