Data Science Lead

3 semanas atrás


Porto, Portugal Metyis Tempo inteiro

Overview

What we offer

- A chance to grow your analytics skills in a supportive, international environment.
- Direct exposure to real-world business challenges and data-driven strategy.
- Mentorship from experienced data scientists and analysts.
- Opportunities to evolve toward more advanced data science roles.
- Dynamic and diverse team within one of the leading global fashion brands.
- 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;
- 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;

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;
- 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 (e.g. R, Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning.
- 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;
- 5+ 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;
- Professional fluency in English.

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