Senior Data Scientist

September 17

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FIS

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Information Technology

10,000+

Description

• 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.

Requirements

• 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. • Proven familiarity with code and programming concepts. • Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education. • A PhD in Statistics, Computer Science, Math, Physics or a related field. • Proven ability to self-direct your technical work and scope projects effectively. • Experience as a data scientist at a company with global operations. • Experience leading and mentoring junior engineers. • Excellent communication and collaboration skills to influence both technical and non-technical stakeholders. • Familiarity with statistical analysis, forecasting techniques, and data modeling. • Familiarity with financial concepts or fintech software. • Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders. • A strong understanding of security best practices for building enterprise applications.

Benefits

• Opportunities to innovate in fintech. • Tools for personal and professional growth. • Inclusive and diverse work environment. • Resources to invest in your community. • Competitive salary and benefits.