Data, Research & Analytics

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41

Data Scientist II

Level

Description

2

Modelling Skills

Demonstrate competencies in relevant Data Science frameworks (e.g. ScikitLearn, Tensorflow). Able to apply Machine Learning methods to build advanced models (e.g. deep learning). Able to roll into production with senior guidance.

2

Data Skills

Understand and create typical data steps to prepare and process data for analysis.

2

Coding Skills

Proficient in coding using one or more scripting languages used in Data Science like Python, SQL, and/or Java.

1

Basic project management of small scale analytics projects with overall planning and support from senior leaders.

Project Management

Technical Skills

1

Industry/Domain Skills

Understand and execute basic methods of the discipline, industry and domain.

x x x x x x

Collaboration and Teamwork Drives for Results Innovates Practices Self-Development Solves Problems and Analyses Issue Takes Initiative

ZF Behaviour Skills

x

Technical/Professional Expertise