Data Scientist in München bei AWS EMEA SARL (Germany Branch)

AWS EMEA SARL (Germany Branch)

A Bachelor’s Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience.
Industry experience of leading large teams through planning, and prioritization on complex transformation initiatives while managing projects and major work streams simultaneously.
Experience interacting with senior and C-level management to define targets business outcomes and identify gaps and opportunities in the business.
Expertise in one or more functional programming languages (Python, R, etc.)
Knowledge of SparkML
Experience using ML libraries, such as scikit-learn, caret, mlr, mllib
Knowledge of SQL
Familiarity with using data visualization tools
Experience giving data presentations

Ability to travel to client locations to deliver professional services when needed

Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprises’ use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology?

At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud and developing a variety of AI solutions. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI.

AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers.

A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include:

Understand the customer’s business requirements and guide them to a solution using our AWS AI Services, AWS AI Platforms, AWS AI Frameworks, and AWS AI EC2 Instances.
Lead multiple projects with autonomy and discretion involving working with multiple Customer and AWS teams. Owing delivery of business outcomes from beginning to end, including understanding business requirements, developing architecture, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization.
Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build deep learning models.
Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models.
Use Lex to develop Conversational User Interface (CUI)
Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data.
Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built.
Assist customers with identifying model drift and retraining models.
Operational Research, Statistics, Mathematics, etc.)
8+ years of industry experience in predictive modeling, data science and analysis
Previous experience in a ML or data scientist role and a track record of building ML or DL models
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
Consulting experience and track record of helping customers with their AI needs
Experience in programming languages such as Python and/or R
Good skills with imperative programming languages such as Java or C/C++
Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR
Experience handling terabyte size datasets
Track record of diving into data to discover hidden patterns
Knowledge and experience of writing and tuning SQL
Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization
Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format