Lead Data Scientist

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 AVEVA Careers.

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Position:  Lead Data Scientist

Location: Madrid (Avenida Manoteras)

Employment type: Full-time regular

Benefits: Competitive package with an attractive bonus incentive plan, regionally specific benefits ranging from above the norm paid vacation, contributions to retirement investment plans or pensions, insurances and a many other memberships and perks designed to enhance the workplace experience, your health, and wellbeing. 

The job

We are looking for a Lead Data Scientist Aveva 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.

Principal Accountabilities

• Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI) and data science.
• Identify AI business opportunities and collaborate across the business to understand IT and business constraints.
• Prioritize, scope, and manage data science projects and the corresponding key performance indicators (KPIs) for success.
• Apply various machine learning (ML) and advanced analytics techniques to perform diverse classification or prediction tasks.
• 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.
• Train and coach peers on specialist data science topics and promote collaboration with other analytics teams within the organization.

Ideal Experience and Skills.

• At least 5 years of experience in a Lead Data Scientist role, ideally managing a team of 3 data scientists.
• Proficiency in Python, R, SQL and other data science coding languages
• Demonstrable experience with Databricks platform, Azure ML or other data science platform.
• Experience with large language models (LLM) is highly desirable, particularly Azure OpenAI, Databricks DBQ etc.
• Strong knowledge and experience in statistical and data mining techniques, such as generalized linear models (GLM), random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural networks (CNN), and recurrent neural networks (RNN).
• Expertise in solving problems related to vision, text analytics, credit scoring, failure prediction, and propensity to buy.
• Ability to work in diverse, cross-functional teams in a dynamic business environment.
• Strong presentation skills, including storytelling and other techniques to guide and inspire.
• Experience with prompt engineering, which involves providing inputs to generative AI models to confine the set of responses to produce a desired outcome. This includes “in-context learning” and utilizing prompt engineering in place of code to build systems through a series of prompts and responses with potentially multiple LLMs at play.

Ideal Experience and Skills.

• A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be ideal.
• Specialization in machine learning, AI, cognitive science, or data science is required.
• Working experience with LLM offerings is a must.
• Working experience in agile environment and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
• Ability to work in diverse, cross-functional teams in a dynamic business environment.
• Strong presentation skills, including storytelling and other techniques to guide and inspire.

About AVEVA

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises. Nine out of ten industrial leaders count on AVEVA software to help them deliver the essentials of life, such as energy, water, food, and medicine - safely, efficiently, and sustainably.

Our impact on the sustainability of the industrial sector has led to us being named one of the world’s most innovative companies, and our own sustainability commitments lead the global software industry. At AVEVA, you’ll be part of a team that has not only won hundreds of patents, but also awards for our diversity, equity, and inclusion programs. 

AVEVA is an Equal Opportunity Employer, and we take immense pride in the diversity of our people. We are driven by our corporate values of Impact, Aspiration, Curiosity, and Trust, and you’ll even get three days to help save the world, every year, in the form of paid volunteer time to work on causes that matter to you. 

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AVEVA requires all successful applicants to undergo and pass a comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third party personal data may involve additional background check criteria.

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business.
 
Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world.