Senior Data Scientist

AVEVA; Madrid; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

AVEVA, a leader in industrial software, seeks a Senior Data Scientist to leverage data in solving complex business challenges. You will lead machine learning projects, develop data models, and foster cross-functional collaborations to drive insightful decision-making. If you thrive in a dynamic, innovative environment, this role offers great opportunities for influence and growth.

Formación

• 3-5 years of experience in data science or related field.
• Expertise in Python and database systems (SQL, NoSQL).
• Demonstrated application of supervised and unsupervised learning.

Responsabilidades

• Develop predictive models and machine learning algorithms.
• Manage data science projects and their KPIs.
• Collaborate with IT and business to implement ML solutions.

Conocimientos

Data analysis

Machine Learning

Predictive modeling

Programming (Python)

Statistical methods

Data visualization

Communication

Educación

Degree in Data Science or related field

Herramientas

Azure ML Studio

SQL

NoSQL

git

Descripción del empleo

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.

We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.

If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at .

Job Title : Senior Data Scientist

Location : Madrid

Employment Type : Permanent, full time

The job

We are looking for a Senior Data Scientist to play a pivotal role in solving complex business problems and discovering business insights using quantitative disciplines (statistical, algorithmic, and mining) and visualization techniques. The role involves planning, executing, and delivering machine learning-based projects, contributing to building and developing the organization’s data science models, and supporting the organization with insights and analysis for decision-making processes.

Key Responsibilities

• Use advanced data science techniques and approaches to solve specific business problems, exploring a variety of techniques to identify the optimal solution.
• Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success.
• Identify AI / ML business opportunities and collaborate across the business to understand IT and business constraints.
• Build predictive models, Machine Learning algorithms and experiments by writing optimized code and using state-of-the art ML technologies.
• Integrate domain knowledge into the ML solution, such as understanding financial risk, customer journey, quality prediction, sales, and marketing.
• Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options.
• Bring new technology and approaches into production.
• Adhere to and promote to best practices and standards for data science process (including documentation) and code developments.
• Use data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based and ML data science products.
• Evangelize and discover opportunities for the use of large language models (LLMs) within the organization.
• Remain up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions.
• Support the organization with insights and analysis for decision-making processes.
• 3-5 years of demonstrated experience in data science or related field.
• Solid mastery of programming fundamentals, algorithms and data structures.
• Expertise with core data science languages (predominantly with Python) and experience working with database systems (such as SQL, NoSQL).
• Demonstrated application of Data Science techniques in supervised and unsupervised learning contexts.
• Technical understanding of the key algorithms such as Linear Regressions, Random Forests, SVM, KNN, K-means, etc.
• Proven experience in developing and deploying Machine Learning (ML) models with measurable business impact.
• Past involvement in AI-based projects, especially with experience in advanced prompt engineering and Retrieval-Augmented Generation (RAG).
• Familiarity with Azure infrastructure, particularly Azure ML Studio and Azure Databricks.
• Knowledge of Azure’s Prompt Flow as a developmental tool is a plus.
• Knowledge of git / version control systems.
• Experience with search engines, classification algorithms or recommendation systems is a plus.
• Strong communication skills in English, both written and verbal.

IT at AVEVA

Our global team of 300+ IT professionals is responsible for the systems and platforms that keep AVEVA running. By empowering our colleagues and ensuring the smooth operation of the company, we help keep the business healthy and productivity high. We also provide key support for the transformation and modernisation efforts globally.

We pride ourselves on a collaborative, inclusive and authentic culture that provides a framework allowing for autonomy, whilst always being available for support and guidance. We respect the differences that each team member brings and seek to include those perspectives in our solutions for our business functions. The energy and sense of purpose is evident when talking to team members, you will feel part of something special from the first day you join.

Senior Data Scientist • Manoteras, Spain