Sr Data Scientist, RBS Tech

Technology, Data & Digital · Data, AI & Analytics · Data Science

In short

The Sr Data Scientist, RBS Tech role focuses on foundational ML research and developing scalable causal-inference and classical ML solutions to enhance customer and selling partner experience. Responsibilities include designing and deploying ML solutions, developing novel econometric techniques, and mentoring team members. This role impacts product strategy and identifies new business opportunities.

Responsibilities

Design and deploy scalable causal-inference and classical ML solutions to measure business impact and solve customer experience issues.
Develop novel econometric, quasi-experimental and statistical techniques such as Difference-in-Differences, Double Machine Learning, synthetic control, matching and propensity methods, causal graphical models, pattern recognition, and anomaly detection.
Define research and experiments strategy with an iterative execution approach to develop AI/ML and causal models.
Partner with business and engineering teams to identify and solve large and complex problems requiring scientific innovation.
Coach and mentor team members, contributing to their technical knowledge and engineering practices.
File for patents and/or publish research work where opportunities arise.
Impact large product strategy, identify new business opportunities, and provide strategic direction.

Requirements

4+ years of data scientist experience.
Experience with statistical models e.g. multinomial logistic regression.
Experience in solving business problems through machine learning, data mining and statistical algorithms.
Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members.
Experience in problem solving and delivering results.
Experience in oral and written communication.
Masters or PhD in Economics, Statistics, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or a related field with specialization in causal inference, econometrics, statistical machine learning, or related fields.
Expertise in causal inference and econometric methods (e.g., Difference-in-Differences, Double Machine Learning, instrumental variables, matching/propensity methods, synthetic control) with a good working knowledge of classical machine learning.

Desired Qualifications

Experience as a leader and mentor on a data science team.
Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership.
Experience in software development.
Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving.
Proven track record of managing science teams, hiring and developing science talent.
Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field of causal inference or impact measurement.
Solid understanding of classical machine learning, causal inference and econometric methods, statistical modeling, and computational complexity.

Benefits

Inclusive culture empowering Amazonians to deliver the best results.
Workplace accommodation and adjustment for individuals with disabilities during the application and hiring process.

Skills

Machine LearningData MiningStatistical AlgorithmsEconometricsCausal InferenceDifference-in-DifferencesDouble Machine LearningPropensity MatchingSynthetic ControlPattern RecognitionAnomaly DetectionMultinomial Logistic Regression

#Data Science#Machine Learning#Causal Inference#Econometrics#Retail Business Services#Customer Experience

About Amazon

Earth's most customer-centric company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…

See all open jobs at Amazon Read more about Amazon Website