Senior Data Scientist

About ABB

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world.

ABB's Machine Automation Division (B&R) is an innovative automation company headquartered in Austria with additional offices around the world. B&R became part of ABB's Robotics & Discrete Automation division in 2017 and, together with the ABB Robotics division, employs more than 11,000 people at over 100 locations in more than 53 countries. As a leading global provider of automation solutions, B&R develops, produces and sells industrial electronics, software solutions and mechatronic solutions as well as technologies for machine and factory automation. Since 2020, B&R's automation portfolio has also included Codian brand delta robots. With its innovative solutions, B&R sets new standards and consistently exceeds its customers' expectations.

Position Details

Reports to: Global Automation Advanced Analytics Service Owner

About the Role

As a Senior Data Scientist, you will help build the next generation of AI/ML-enabled solutions that support our strategic vision of digitalizing industrial projects and operational risk management. You will apply your skills in machine learning, cloud platforms—particularly Snowflake and Azure—agile delivery, and software engineering to design and deliver scalable, production-ready AI solutions across global initiatives. You will also play a key role in positioning our team as the AI Center of Excellence within the AU division, working closely with platform teams and business units to define standards, governance, and best practices across AI/ML initiatives. In this role, you'll help run what runs the world, by taking on meaningful work that drives real impact.

Responsibilities

• Manage end-to-end AI/ML initiatives, from problem definition and data exploration to model development, deployment, and production monitoring
• Design, build, and maintain scalable data pipelines and machine learning workflows using Snowflake and Azure cloud services
• Develop and deploy machine learning models at scale, applying MLOps best practices for model governance, monitoring, versioning, and retraining
• Collaborate with cross-functional teams and stakeholders to ensure AI solutions align with business objectives and delivery roadmaps

Team Dynamics

Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there.

Qualifications

• Bachelor's degree or higher in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline
• 4+ years of experience designing, developing, and deploying machine learning or AI solutions in industrial or enterprise environments
• Practical proficiency with Snowflake (including data warehousing, Snowpark, stored procedures, and dynamic tables) and experience in working with Azure cloud platforms such as Azure Machine Learning, Azure Data Factory, and Azure Synapse
• Proficient foundation in statistics and machine learning algorithms, with the ability to explain and apply concepts related to explainable AI (XAI)
• Solid programming skills in Python and SQL, combined with reliable software engineering practices (version control, testing, modular design)
• Experience working in Agile delivery frameworks, including Azure DevOps for CI/CD pipelines, sprint planning, and backlog management
• Demonstrated experience delivering large-scale ML projects such as churn modelling, customer retention, risk analytics, or dynamic process modelling
• Effective communication skills, with the ability to translate complex technical concepts into clear, actionable business insights and collaborate effectively across global teams

Benefits

We offer a full range of benefits to help you thrive at work and beyond:

• Work-Life Balance – Flexible working models, including flextime and hybrid options, to support your personal and professional life
• Health & Well-being – Access to various health measures, a Global Employee Assistance Program, and a gender-neutral parental leave policy
• Financial Perks – Participation in the Global Employee Shareholder Acquisition Program (ESAP) and meal allowances
• Career Growth – Extensive training opportunities and structured development programs to help you advance
• Inclusive Culture – A dynamic, international work environment that fosters collaboration and innovation

Why ABB

Working at ABB gives you the opportunity to contribute to a healthier and more prosperous world. Add to your story by joining a passionate team, focused on pushing the boundaries of technology to drive performance, shape new business models and find new ways of working that benefit our customers, partners and society. We want you to be proud of being part of ABB.

We Care

At ABB, we care about our people and their stories. We create safe, fair, equitable and inclusive working environments in which our people can succeed and develop, regardless of gender, ethnicity, sexual orientation or cultural, religious or social background. Diverse teams make us stronger. ABB is also committed to a high standard of integrity in everything we do.

We Grow

We help our people succeed and develop, and we empower them to create their own careers at ABB. Our benefits, reward and development programs encompass a wide array of offerings.

How to Apply

Do you want to shape the future, together with us? Get more insights into our recruitment process and find some helpful tips and tricks how to join the team. Make our story your story.

Visit www.abb.com to read more about us and learn about the impact of our solutions across the globe.

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