Data Science Lead

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.

Lead the design, development, and deployment of scalable machine learning models, ensuring integration into production with ongoing performance monitoring.

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 team.

Good to have experience applying GenAI techniques like prompt engineering, RAG, or LLM fine-tuning to solve business problems.

What You’ll Bring

5-7 years of consulting experience or relevant industry experience, with at least 1+ years at a project lead level.

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.

Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus.

Proven ability to manage projects with expert team members and to provide inspiring guidance to juniors in the team.

Excellent communication skills, especially to explain complex analytical concepts in non-technical terms to business users.

Professional fluency in English.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.