Amazon is seeking an experienced, self-directed data scientist to support the research and analytical needs of Amazon Web Services' EMEA Sales teams.
This is a unique opportunity to invent new ways of leveraging our large, complex data streams to automate sales efforts and to accelerate our customers' journey to the cloud.
This is a high-visibility role with significant impact potential.
You, as the right candidate, are adept at executing every stage of the machine learning development life cycle in a business setting;
from initial requirements gathering to through final model deployment, including adoption measurement and improvement. You will be working with large volumes of structured and unstructured data spread across multiple databases and can design and implement data pipelines to clean and merge these data for research and modeling.
Beyond mathematical understanding, you have a deep intuition for machine learning algorithms that allows you to insist on defining the problem so that you can anticipate and suggesting appropriate algorithm applications.
You’re talented at communicating your results clearly to business owners in concise, non-technical language. Examples of project assignments include modeling usage of AWS services to determine recommend optimal sales planning, quota setting, territory coverage, recruiting needs, and more.
You will :
Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing / collection, ground truth generation, normalization, transformation, Visualization, etc.
Clean, analyze and select data to achieve goals
Design and develop complex mathematical, simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions
Maintain rigorous statistical standards and take ownership of the outcome your analyses suggest
Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
Interact with data engineers operations, BI and business teams to develop an understanding and domain knowledge of processes and business requirements that you will leverage to build scalable models to derive optimal or near-optimal solutions.
Deliver quantitative research and develop predictive models in an Agile research and development environment
Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling and simulation
Degree in mathematics, statistics, engineering, computer science, or a related quantitative field with 5 years of working experience as a Data Scientist
3 years of hands on experience in using statistical analysis, applying various machine learning techniques, predictive modeling and data mining to solve complex business problems.
Experience in developing and exploiting data to better understand customer engagement, customer life-cycle, propensity modelling, retention, churn, etc.
Hands-on experience of a variety of tools including SQL, R, Python, etc.
Collaborative thinker with the ability to conceptualize and create solutions to business problems
A passion for learning new technologies so as to utilize the best tool for the solution
Results oriented person, with a client-centric attitude ensuring accountability for delivery
Strong English communication skills
Comfort with the AWS services so that you can extract the data you need from our different sources.
Experience developing cloud software services and an understanding of design for scalability, performance and reliability
A second European language
Prior experience of working in a sales