Senior Data Scientist at FIS Global
Dublin, County Dublin, Ireland -
Full Time


Start Date

Immediate

Expiry Date

26 Jul, 25

Salary

0.0

Posted On

26 Apr, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

EDUCATION DESIRED :

Bachelor’s Degree

TRAVEL PERCENTAGE :

5 - 10%
About FIS: As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?
About the Role: We are looking for a Senior Data Scientist to join our team and 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. Note: We have a hybrid work environment in our Atlanta office unless the role or business dictates otherwise.

Responsibilities
  • Develop and lead statistical and machine learning efforts in relation to your projects. 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.
Loading...