Data Scientist, Corporate Financial Planning & Analysis

Key Skills

Java Programming, Finance, Oracle, Design, Python Programming, SQL, Scrum Agile Methodology, AWS, PowerBI, Machine learning techniques, Data science techniques, MATLAB Programming, R Programming, Amazon RedShift, DynamoDB, Lambda, Amazon Simple Storage Service (S3), SAS, Terabyte scale datasets

Job Description

Within Amazon’s Corporate Financial Planning & Analysis team (FP&A), we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Company’s enterprise-wide financial planning & analytics environment.

We are looking for a customer obsessed Data Scientist who can apply the latest research, state of the art algorithms, and machine learning to build highly scalable systems in the financial planning and analytics domain.

The successful candidate will have strong coding background, forecasting experience, and ML modeling skills. The candidate must be comfortable facilitating and working from concept through to execution and be able to present technical findings to business partners.

The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us! If you are passionate about solving complex problems, in a challenging environment, we would love to talk with you.

Responsibilities of this position include:

A qualified candidate must have demonstrated ability to manage modeling projects, identify requirements and build methodology and tools that are statistically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. In addition to the modeling and technical skills, possess strong written and verbal communication skills, strong focus on internal customers, and high intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as changes arise.

• This is a tremendous opportunity to develop creative, new and innovative ways of interacting with and interpreting business key performance indicators.
• We're looking for innovators who want to create reliable and scalable solutions to help our leaders create the appropriate strategies.
• Additional responsibilities may include:
• Research machine learning algorithms and implement by tailoring to particular business needs and tested on large datasets.
• Predict future customer behavior and business conditions (Machine Learning, Predictive Modeling) and manipulating/mining data from database tables (Redshift, Oracle, Data Warehouse)
• Create automated metrics
• Providing analytical network support to improve quality and standard work results
• Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
• Foster culture of continuous improvement for Customer Experience through all aspects of Data;(BI, Data Analytics, and Data Science)
• Participate in the full development life cycle, end-to-end with cross functional teams, from design, implementation and testing, to documentation, delivery, support, and maintenance.

As a member of our team you will be responsible for modelling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, and create operational efficiencies. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you will need to be entrepreneurial, able to deal with high ambiguity and should be an effective communicator capable of independently driving issues to resolution and communicating insights to technical and non-technical audiences.

BASIC QUALIFICATIONS

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

Bachelor's Degree

• 3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
• 2 years working as a Data Scientist
• M.S. Degree in Engineering, Math, Statistics, Finance, Computer Science, or related industry experience
• 3+ years working in Analytics / Data Science / Forecasting environment
• Deep understanding of regression modelling, forecasting techniques, time series analysis, machine-learning concepts such as supervised and unsupervised learning, classification, etc.
• Advanced skills in Python
• Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via AWS technologies, SQL, and data pipelines
• The motivation to achieve results in a fast-paced environment
• Experience with statistical modelling or machine learning
• Ability to communicate technical concepts and solutions at a level appropriate for technical and non-technical audiences
• Strength in clarifying and formalizing complex problems

PREFERRED QUALIFICATIONS

Experience working with large financial data sets · · Experience with Amazon Web Services (S3, SNS, SQS, RedShift, DynamoDB, RDS, Lambda) · Demonstrated experience incubating and commercializing new ideas, working closely with and technical teams and business teams from concept generation through implementation. Excellent written and verbal communication skills. · Experience with agile or scrum methodology ·

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