Senior Data Scientist, DaS FinTech

Key Skills

Java Programming, Finance, Python Programming, SQL, Agile methodologies, Data science techniques, MATLAB Programming, R Programming, SAS, Large scale data processing, Large data sets

Job Description

Amazon’s Digital Finance organization has an immediate opening for a Data Scientist to help build next generation financial and accounting platform for running devices and services business.

Are you passionate about solving complex business problem using data science and machine learning? Does the prospect of solving high impact business problems excite you? If so, come be part of a team that is using cutting edge machine learning technologies to build solutions that help run Amazon's devices and services business.

This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with noisy data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail.

Key job responsibilities

• Invent, implement, and deploy state of the art machine learning algorithms and systems
• Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams
• Take ownership of how ML solutions impact Amazon resources and Customer experience
• Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes
• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.
• Research and implement novel machine learning and statistical approaches
• Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations
• Build models that forecast growth and incorporate inputs from engineering, finance partners.
• Work with data engineers and software development engineers to deploy models and experiments to production
• Identify and recommend opportunities to automate systems, tools, and processes
• Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance.
• Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.

A day in the life

As a Data Scientist, you will be responsible for modeling complex problems, discovering insights that identify opportunities through statistical models, machine learning, and visualization techniques. You will work closely with Data Engineers and Finance Analysts and other ML experts to build base line models, research new algorithms and find new ways to improve forecasting models. You will partner with Product and Finance leaders to solve business problems using scientific approach. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.

BASIC QUALIFICATIONS

• Bachelor's Degree
• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 4+ years working as a Data Scientist

• Master's degree or equivalent in Statistics, Mathematics, Data Science, AI, Computer Science or a related quantitative field.
• Algorithm and model development experience for large-scale applications.
• Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects
• Experience with automating financial/accounting processes and dealing with finance data sets

PREFERRED QUALIFICATIONS

• Demonstrable track record of dealing with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Proven problem solving ability
• Excellent communication and presentation skills

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit