Senior Data Scientist

4 weeks ago


New Port Richey, Florida, United States FIS Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our FIS Embedded Finance team. As a key member of our team, you will play a crucial role in generating insights and supporting data-driven decision making across the organization.

You will be responsible for researching, designing, developing, and implementing data science solutions to solve complex business problems. Our projects leverage machine learning, experimentation, signal processing, time series analysis, geospatial analysis, natural language processing, and more.

Leverage large scale data processing such as Spark, Hive, and off-the-shelf systems. Conduct original analyses to advise and influence product, engineering, and operations efforts. Communicate findings to stakeholders in a clear and concise way.

Partner with business stakeholders to understand their needs and translate those needs into data-driven solutions. Develop and implement machine learning (ML) models to extract insights from data. Analyze large datasets to identify trends, anomalies, and opportunities for improvement.

Participate in the development of data pipelines to ensure the quality and availability of data for analysis. Stay up-to-date on the latest data science trends and technologies. Identify opportunities to streamline data-related processes, enhance data quality, and improve efficiency in financial operations.

Propose and implement innovative solutions and best practices. What you will need:

  • A master's in Statistics, Computer Science, Math, Physics or a related field.
  • 2+ years of relevant professional work experience in a data science or similar role.
  • Proven experience applying machine learning and statistical modeling techniques to solve real-world problems.
  • Strong programming skills in Python or R.
  • Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.

Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.



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