(Senior) Data Scientist

Talanto; Braga; Híbrido; EUR 80 000 - 120 000; Tempo integral

Resumo da oferta

Talanto in Portugal is seeking a Senior Data Scientist to drive digital solutions for connected mobility. You will design, develop, and deploy advanced data science models, collaborating with Data Engineers, MLOps Engineers, and cross-functional teams to deliver scalable, production-ready insights.

You will translate business requirements into data-driven solutions, mentor junior scientists, and contribute to agile project delivery while ensuring robust, maintainable ML lifecycles across global

Qualificações

• Academic degree in Computer Science, IT, Engineering, Mathematics, or related field.
• 4+ years of experience as a Data Scientist.
• Fluent English language skills (written and spoken).

Responsabilidades

• Lead technical development projects, including scope definition and proof-of-concept.
• Design and develop data science models for complex problems.
• Build and deploy models into production-ready solutions with lifecycle management.
• Collaborate with Data Engineers and MLOps Engineers to deliver data-driven projects.
• Mentor junior Data Scientists and promote knowledge sharing.

Conhecimentos

Python

SQL

Machine Learning

Cloud Platforms

Big Data

MLOps

Airflow

Time-series

Formação académica

Bachelor's degree in Computer Science / IT / Engineering / Mathematics

Master's degree preferred

Ferramentas

Airflow

Spark

Kafka

Descrição da oferta de emprego

SQL Python Airflow

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is a leading tire manufacturer and industry specialist that develops and produces sustainable, safe and convenient solutions for automotive manufacturers as well as industrial and end customers worldwide. Founded in 1871, the company generated sales of €19.7billion in 2025 and currently employs around 78,000people in 54 countries and markets.

Job Description

In Digital Solutions, we drive innovation for connected mobility and deliver cutting-edge digital products to our global fleet customers. As a Senior Data Scientist, you will be at the forefront of transforming data into intelligent, scalable solutions.
You will design, develop, and deploy advanced data science models that solve complex business challenges and deliver measurable impact. Working closely with Data Engineers, MLOps Engineers, and cross-functional teams, you will turn raw data into actionable insights and production-ready solutions that power smarter, safer, and more efficient mobility worldwide.

Key responsibilities:

• Lead technical development projects, including scope definition, concept design, and proof-of-concept, and report progress to stakeholders;
• Design and develop data science models to solve complex customer problems and conduct proof-of-concepts for feasibility and scalability;
• Build and deploy validated models into production-ready solutions, ensuring robustness, maintainability, and lifecycle management;
• Engage with business stakeholders to understand requirements, facilitate workshops, and translate technical topics into clear, non-technical language;
• Collaborate with MLOps Engineer and Data Engineers to realize data-driven projects;
• Mentor junior Data Scientists, review work, and organize knowledge-sharing sessions to foster best practices.

Qualifications

• Academic degree in Computer Science, IT, Engineering, Mathematics, or related field;
• > 4years ofexperience as a Data Scientist;
• Reliable team player with structured self-organized workstyle;
• Strong programming skills in Python and SQL;
• Expertise in machine learning and AI (supervised, unsupervised, deep learning, time-series);
• Proficiency in cloud and big data platforms;
• Advanced skills in exploratory data analysis and dashboarding;
• Hands-on experience with data engineering tools (e.g., Airflow);
• Solid understanding of MLOps and model deployment practices;
• Experience with Agile project management methods (Scrum, Kanban);
• Fluent English language skills (written and spoken).

Additional Information

Our offer:

• Integration in a challenging and international work environment;
• Agile and collaborative working style;
• Continuous opportunities for the promotion of talent and training.

Product Owner / Central Key User SAP-PM & PUMA

Tire Vehicle Interaction and Tire Modeling Engineer (m/f/diverse) - REF97706Z

Director, Finance Systems - Revenue Systems Engineering

SQL Python Spark Airflow Kafka

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.