Data Scientist And Machine Learning Engineer (Optimization)

EURECAT

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern

Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology industry and sustainability and collaborates with industry in RDI activities and projects offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors accelerating innovation reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I has 230 patents and 10 spinoffs. Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.

Job description

Eurecat is the main Research & Technology Organisation in Catalonia and the second largest private research organization in southern Europe. It brings together the experience of more than 800 professionals and provides services to more than 2000 companies. Applied R&D technological services highly specialized training technological consultancy or valorisation and exploitation of industrial property are some of the services that Eurecat offers for both large and small and mediumsized enterprises in all sectors. The technology centre participates in more than 200 large national and international consortium projects of high strategic R&I and has 181 patents and 10 spinoffs. The added value provided by Eurecat accelerates innovation reduces spending on scientific and technological infrastructures reduces risks and provides specialized knowledge tailored to each company.

Job description

Are you ready to embark on a challenging journey of discovering and applying novel optimizationbased solutions different industrial and logistics applications The Applied Artificial Intelligence Unit of EURECAT is looking for a highly motivated Operations Research specialist to help us pave the way in transforming how goods are manufactured and transported for a more sustainable future.

Whether its algorithms or data analytics were here to revolutionize the logistics and industrial sector.

Improve processes and operations by developing cutting edge data driven solutions

Multicriteria optimization solutions to face the daytoday challenges in real world applications. Lets help businesses to streamline their process and boost their efficiency

Collaboration: Join our multidisciplinary team. Learn grow and contribute. Be part of datadriven revolution

RESPONSABILITIES

As a valued member of our team your role encompasses several critical dimensions:

MultiCriteria and MultiObjective optimization for Logistics and Industrial applications: from production planning and scheduling to optimal transport allocation and route planning

Eager to challenge the statusquo: work and develop novel solutions mixing ML and Optimization.

Think big: Reinforcement Learning Robust Optimization and SoA solutions

Code Craftsmanship: Your code will be the bedrock of our innovations. Rigorous validation and refinement ensure optimal efficiency and readyto market solutions

Innovative Solutions: Youll delve into the intricate world of datadriven solutions harnessing the power of multimodal data across different contexts.

Global Impact: Collaborate on scientific publications sharing your insights with the wider research community.

Tailored Growth: We recognize your unique strengths and interests. Your responsibilities will evolve accordingly fostering personalized development within our team.

Project Leadership: As you grow and the projects unfold your adept project management skills will steer us toward success.

WHAT EURECAT CAN OFFER YOU

Our group is specialized in applied research and development on ML optimization and AI solutions. The Applied Artificial Intelligence Unit of Eurecat develops innovative solutions (algorithms methods platforms) based on a combination of artificial intelligence and knowledge management technologies especially for the industrial energy and sustainability sectors. We have over 12 years of experience pushing the adoption of stateoftheart AI and ML solutions for our private customers as well as for relevant European research projects! Check out our portfolio: Applied Artificial Intelligence Eurecat () Applied Artificial Intelligence Eurecat Technological Centre

And

Permanent contract

Hybrid (work home office/work in the office)

Flexible Schedule

Shorter workday on Friday and Summer Schedule

Flexible remuneration package (health insurance transport lunch studies training and kindergarten)

Eurecat workers can join the Eurecat Academy courses

Eurecat workers can attend our weekly thematic sessions to be aware of Eurecat areas of knowledge.

Languages training (English Catalan and Spanish)

Companys commitment to worklife balance

Requirements

REQUIRED SKILLS

A passion for Operation Research and data driven based solutions backed by an MSc or equivalent experience in Multicriteria optimization Mathematics ML and AI.

Excellent coding skills. Your code will be used in readytomarket AI applications.

Experience in Linear programming Metaheuristics (PSO Ant Colony etc)

Proficiency in Python.

At least 2 years of handson experience with Operation Research challenges.

Open minded: Eager to learn new domains: how the transport sector works and how industrial processes work and how industries work seeking efficiency.

A collaborative and growing mindset coupled with the ability to thrive both independently and as part of a team.

Dynamic communication skills allowing you to effectively convey complex ideas and collaborate with colleagues from diverse backgrounds.

Flexibility creativity and a relentless drive to innovate.

Critical thinking.

A readiness to travel when needed embracing opportunities to connect with clients partners and collaborators.