At Machine Learning Reply Austria, we strive to work on leading-edge technology projects with our clients for which we are seeking Data Science consultants with a strong technical background.

In Short

Responsible for customised end-to-end solutions in data science.
Identify and analyse problem solutions with customers.
Propose and discuss effective solutions.
Develop state-of-the-art algorithms and automate workflows.
Stay up to date with cutting-edge technology.
Be the point of connection between technical team and management.
Work on projects across various industries.
Participate in a very active group social program.
Work in a flat environment with knowledge sharing.
Enjoy flexible work arrangements including remote work.

Requirements

Completed studies in computer science, mathematics, physics, or comparable.
Solid experience with Python, JavaScript, or Java.
Excellent software engineering skills.
Sound knowledge of machine learning and statistics.
Knowledge of cloud services from AWS or Azure.
Experience in prioritising customer needs.
Experience with agile development concepts like Scrum.
Excellent German skills and good English skills.
Willingness to travel if required by the project.

Benefits

Gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant).
Access to projects across industries.
Active group social program including conference funding.
Recognition for Innovation to foster personal development.
Open, flat working environment.
Office space in downtown Vienna.
Training and certification encouraged.
Home-office contracts available.
State-of-the-art work equipment.
Gym-membership subsidy.

Machine Learning Reply

Machine Learning Reply is a fast-growing consultancy that specializes in leading-edge data science projects. With a global presence and over 13,000 employees, the company focuses on providing tailor-made end-to-end solutions that encompass the entire project lifecycle, from strategy consulting to data architecture, processing, modeling, and visualization. They work closely with clients across various industries, including banking, insurance, automotive, and retail, to solve complex problems through data usage and visualization. The company fosters a collaborative and innovative work environment, offering opportunities for professional development and access to state-of-the-art technology.

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