American Express · 2 days ago

Senior Staff Engineer

New York, NY

Full-time

Hybrid

Senior Level

$170K/yr - $255K/yr

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Comp. & Benefits

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Responsibilities

Lead the development and maintenance of foundational namespaces and advanced data models to define application ecosystems

Spearhead the design and implementation of robust data collection processes to measure application consumption of infrastructure resources, ensuring accuracy and efficiency

Drive the analysis of data to attribute infrastructure resource consumption to specific business drivers, providing valuable insights to inform strategic decision-making

Collaborate closely with cross-functional teams, providing guidance and expertise on data analysis methodologies and best practices

Apply advanced statistical and machine learning techniques to extract actionable insights from complex datasets related to infrastructure resource consumption

Lead the development of predictive models to forecast infrastructure resource needs based on historical data and projected business growth, contributing to long-term planning and optimization efforts

Design and develop comprehensive dashboards and reports to visualize key findings, effectively communicating complex information to stakeholders at all levels

Evaluate the performance of data models and algorithms on an ongoing basis, identifying areas for improvement and driving iterative enhancements to ensure optimal accuracy and efficiency

Stay updated on industry trends and advancements in data science and infrastructure technology, proactively incorporating innovative methodologies and tools into the organization’s practices

Provide mentorship and guidance to junior team members, fostering their professional development and contributing to the overall success of the data science practice area within the Global Infrastructure organization

Qualification

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Data ScienceAnalytical TechniquesProgramming PythonProgramming RProgramming ScalaData ManipulationData AnalysisData Visualization TableauData Visualization Power BIData Visualization MatplotlibSQLRelational DatabasesStatistical TechniquesMachine Learning AlgorithmsData ModelingBusiness Requirements TranslationProject ManagementStakeholder CollaborationEmerging TechnologiesProblem-SolvingStrategic ThinkingCommunicationInterpersonal SkillsLeadershipMentoringDetail-OrientedContinuous LearningCloud PlatformsAWSAzure

Required

Significant experience working in a data science role, with a proven track record of success in applying advanced analytical techniques to solve complex business problems

Expert proficiency in programming languages such as Python, R, or Scala, as well as in-depth knowledge of data manipulation and analysis techniques

Extensive experience with data visualization tools such as Tableau, Power BI or matplotlib, and proficiency in SQL and relational databases for data querying and manipulation

Deep understanding of statistical techniques, machine learning algorithms and data modeling concepts, with the ability to translate business requirements into technical solutions

Exceptional problem-solving skills and strategic thinking ability, with a demonstrated aptitude for driving innovation and delivering impactful results in a dynamic environment

Excellent communication and interpersonal skills with the ability to effectively collaborate with stakeholders across different functions and levels of the organization

Strong leadership capabilities, with experience leading projects or teams and a passion for mentoring and developing junior talent

Detail-oriented with a commitment to producing high-quality work and a continuous learning mindset with a desire to stay at the forefront of emerging trends and technologies in the field of data science and infrastructure