Data Scientist - ML & Analytics Innovator

QuantumBlack, AI by McKinsey; Paris; Sur place; EUR 45 000 - 70 000; Plein temps

Avantages offerts par ce poste

Comprehensive benefits package

Continuous learning and mentorship

Opportunity to attend global conferences

Résumé du poste

QuantumBlack, AI by McKinsey is seeking talented individuals in Paris to develop impactful analytics solutions. You will collaborate closely with diverse teams, implementing machine learning techniques to solve real-world business problems while enhancing your growth in a dynamic environment.

Your role includes translating complex business needs into analytical challenges, working with technologies such as Python and SQL, and contributing to influential projects across various industries including healthcare and automotive.

Qualifications

• Professional experience with machine learning techniques in data-rich environments.
• Programming experience in R and/or Python.
• Ability to independently drive model development.
• Strong time management skills for autonomous work.

Responsabilités

• Collaborate with clients to develop impactful analytics solutions.
• Translate business problems into analytical challenges.
• Build models and evaluate them with relevant metrics.
• Contribute to R&D projects and attend industry conferences.

Connaissances

Machine learning application

Data mining techniques

Programming in Python

Statistical analysis

Communication skills

Formation

Bachelors, Masters or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or AI

Outils

Python

PySpark

SQL

Airflow

Docker

Kubernetes

AWS

Azure

Description du poste

QuantumBlack, AI by McKinsey is seeking talented individuals in Paris to develop impactful analytics solutions. You will collaborate closely with diverse teams, implementing machine learning techniques to solve real-world business problems while enhancing your growth in a dynamic environment.

Your role includes translating complex business needs into analytical challenges, working with technologies such as Python and SQL, and contributing to influential projects across various industries including healthcare and automotive.