Machine Learning Data Scientist

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

We are excited to present an outstanding opportunity to join Lonza AG as a Business Intelligence Analyst 2 in New Hampshire, USA. In this role, you will be at the heart of our ambitious data-driven initiatives, collaborating with world-class experts to deliver exceptionally impactful analytics solutions. This position provides a fantastic chance to expand your skills in data integration, architecture, and more, all while contributing to Lonza's ongoing growth and success.

• Develop and implement impactful Business Intelligence solutions, including dashboards, reports, and critical metrics.

• Leverage and analyze data from across the organization to deliver meaningful insights that enhance business processes, operational efficiency, and decision-making.

• Serve as a Subject Matter Expert for internal BI applications, including standard administrative duties.

• Maintain and improve existing Business Intelligence solutions while proactively developing scalable methods to capture data efficiently.

• Work closely with architects, developers, and collaborators to craft and implement seamless analytics solutions.

• Implement or update data integration solutions of low-to-mid level complexity to support analytics objectives.

• Mentor collaborators from various departments on accurate data visualization techniques and standard methodologies.

• Work closely with partners and customers to find opportunities for applying data in improving operations or supporting business needs.

• Perform other duties as assigned.

• Excellent problem-solving and critical-thinking capabilities.

• Advanced understanding and application of BI and analytics platforms and related concepts.

• Proven expertise in visualizing data that promotes action and ease of understanding.

• Ability to gather and translate business and technical requirements into impactful data solutions.

• Advanced knowledge of data integration patterns, methods, and tools with the ability to support analytics objectives.

• Ability to adapt to a complex and dynamic business environment and deliver solutions successfully.

• Experience identifying and recommending analytics tools, metrics, and visualizations to monitor and improve business process performance, operational efficiency, and decision-making.

• Experience working with data governance, data ownership, risk, and compliance programs.

• Advanced knowledge and application of database and data integration (e.g., ETL) tools.

• Excellent written and verbal communication skills with the ability to lead and influence others.

• Strong collaboration and relationship-building skills.

• Experience working in an Agile Development environment and familiarity with project management and process improvement tools (e.g., Lean Six Sigma Techniques).

Join us at Lonza AG and be part of a team where your contributions are valued, and your career ambitions can truly flourish.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law.