Data Science Manager

We are looking for a Data professional to join and lead our Data Science team. As Data Science Manager, you are responsible for turning our clients’ business into a more data-driven one, where data is used to drive action in every team, every day. You will be part of the Swiss management team and responsible to increase our footprint in the Swiss market, with a strong focus on D&A.

Requirements

What we offer

• Interact with our clients on regular basis to drive their business towards impactful change.
• Work in multidisciplinary teams and learn from motivated colleagues.
• A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
• Become part of a fast growing international and diverse team.

What you will do

• Manage client interactions and play a key role in building and maintaining client relationships.
• Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes.
• Perform data analysis in the field of customer and product analytics, marketing analytics, and (Gen)AI solutions
• Provide project management oversight required to meet client expectations.
• Responsibilities may include the development of presentations and managing of external relationships.
• Seek compelling opportunities beyond the scope of the current project
• Provide guidance to more junior members of the team, while orchestrating the work of the entire tea

What you’ll bring

• Master (or Ph.D.) degree in a quantitative field with a focus on data analysis (e.g. econometrics, AI, mathematics, physics, and other exact sciences).
• Sharp thinking ability to be able to quickly differentiate major contributors from irrelevant details and to hierarchically structure information residing in the data under analysis.
• Outstanding knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualization (e.g. PowerBI) to Machine Learning and AI. Understanding data engineering solutions is a plus.
• Expertise in cloud services, particularly Microsoft Azure, with a strong ability to leverage cloud-based solutions for scaling data processing and model deployments effectively is a plus.
• Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.
• 5-8 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.
• Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.
• Expertise in data privacy and security is a strong plus