Data Scientist

NLP PEOPLE; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

An innovative company is on the lookout for a talented Data Scientist to join its Customer Strategy & Commercial Excellence team in the vibrant 22@ innovation district of Barcelona. This role involves creating advanced analytics models to drive marketing, sales, pricing, and logistics strategies. You will engage in a dynamic modeling cycle, collaborating with business analysts and stakeholders to transform data into actionable insights. If you have a strong foundation in computing and statistics, along with proficiency in Python and R, this is an exciting opportunity to make a significant impact in the rapidly evolving mobility sector.

Formación

• Strong background in computing and statistics required.
• Experience with advanced analytics models and big data platforms.

Responsabilidades

• Develop advanced analytics models for marketing, sales, and logistics.
• Collaborate with analysts to enhance models and provide insights.

Conocimientos

Computing

Statistics

Teamwork

Business Acumen

Data Storytelling

Herramientas

Python

R

Pyspark

Oracle

AWS

Databricks

GCP

Power BI

Tableau

Descripción del empleo

ZF Aftermarket is seeking a Data Scientist for its Customer Strategy & Commercial Excellence department, located in Barcelona’s 22@ innovation district. The company is expanding its advanced analytics capabilities, focusing on data-driven solutions in the rapidly evolving mobility sector.

What you can look forward to as Data Scientist:

1. Prototype Development: Create advanced analytics models for marketing, sales, pricing, and logistics.
2. Modeling Cycle: Understand business problems, explore data, create and test models, and iterate until the solution is business-ready.
3. Collaboration: Work closely with business analysts and stakeholders to improve models and provide actionable insights.

Company:

ZF

Qualifications:

1. Strong background in computing and statistics.
2. Experience with Python, R, Pyspark, and models such as neural networks and Bayesian modeling.
3. Familiarity with databases (e.g., Oracle, AWS) and big data platforms (e.g., Databricks, GCP).
4. Knowledge of visualization tools (e.g., Power BI, Tableau).
5. Soft skills like teamwork, business acumen, and data storytelling are essential.