Job Application

Data Scientist

• 6 months contract +
• Based in Geneva, Switzerland

Our client, a global manufacturing expert, is looking for a Data Scientist to join their CoE and AI team whose mission is to deliver qualitative sales and marketing leads through our digital application to their customers. The role will be remote-working

Our clients AI team are seeking a Data Scientist to solve challenging and high-impact business problems for digital initiatives. The team's mission is to understand our customers and to provide best solutions to their needs via digital capability, particularly analytics. The analytics capability plays a critical role for enabling many enterprise services and solutions.

This role will require a skill set in advanced statistical modelling and machine learning techniques as well as domain knowledge of industrial equipment.

The Data Scientist will participate on cross-functional project teams in order to solve a problem presented by a Business Unit or Service Organization or customer

The key role of this first-level data scientist position ranges from learning and assisting others to learning to contribute independently. The Data Scientist is expected to become familiar with the company's processes, products, and organization.

The job function may include data collection and analysis; development, validation, application, and refinement of statistical models; application of related digital technologies in processing both the inputs and outputs from the models.

The Data Scientist demonstrates the ability to handle basic issues independently. They also demonstrate good communication skills; planning and organization, teamwork, and decision making skills; a strong concern for customers; a strong focus on continual learning in the Analytics field

• Typically requires a Bachelor's degree in engineering, computer science, statistics, economics, mathematics, or a similar field with quantitative coursework
• Must be comfortable working in industry standard statistics, analytics, and data visualization packages.
• Must be proficient in Python programming language and its analytics package
• Must demonstrate initiative, interpersonal skills, and the ability to communicate effectively.
• Practical applications of machine learning techniques such as Clustering, Logistic Regression, CART, Random Forests, SVM or Neural Networks.
• Strong technical and problem-solving skills and evidence of continuous learning in the analytics field
• 2+ years of experience applying python (NumPy, SciPy, pandas, etc) programming to solve business challenges
• Experience with cloud technologies (AWS, Azure, Google Cloud, etc)
• Good communication, interpersonal, and collaboration skills
• 3+ years of industry experience