Lead Data Scientist
DKCPH75 - Copenhagen - Amaliegade 44
Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.
At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve.
With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.
Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.
Our team: StarConnectIn the StarConnect project a Lead is responsible to: identify, prioritize, and execute tasks in the software development life cycle.
- Executes on the architectural vision
- High Level Estimation
- Contributing to Architecture Blueprint
- Tech Story - Writing
- Owning Sprint Deliverables
- Low Level Design
- Release development + Coding
- Code reviews and testing
- Defect Triage
- Create and Maintain Adequate Documentation
- Assist in Release planning and Tracking.
- Tech mentoring / coaching
- Balance workload among the team members
Data Science team
The Lead is an important “T-Shaped” role demonstrating both depth and breadth across key engineering competencies, e.g. Systems Design and Architecture, Software Development, Testing, DevOps, Security and successfully collaborate with experts from other subject domains especially Data Scientists/Engineers.
Your Day to Day?Day to day The Lead Engineer in the Data Science team will often:
- Work with data scientists and engineers to develop end-to-end machine learning solutions, including data pipelines, model training, and deployment via APIs.
- Collaborate with key stakeholder to understand requirements and translate them into effective technical solutions.
- Unblock and enable team members by solving problems and setting directions.
- Define our team’s technical architecture.
- Set the standards in our team for Software Engineering best practices.
- Participate in brainstorming sessions, technical discussions, and contribute innovative ideas to drive continuous improvement.
- Mentor junior team members and actively share knowledge to foster a culture of learning and growth.
- Stay updated with the latest developments in machine learning and software engineering and apply them to improve our products.
While reading the following list, please consider that we value your whole skill set and expertise more than a list of “must haves”. If you believe you can aspire to this role, get in touch, even if you don’t currently have everything listed – let’s talk!
- Proficiency in Python. Familiarity with libraries and frameworks for both APIs and data processing.
- Kubernetes and Docker
- Azure Cloud services and Github actions
- RESTful APIs
- Infrastructure as Code
- PostgreSQL or similar database technology
- Basic data science and machine learning understanding
Our Hiring Manager for this role is an accomplished information technology leader with extensive Technology, Product Management, Technical Program Management, Agile Delivery Management, Stakeholder Management, SRE, People Management & Hiring experience in the field of software development with multiple industry settings in business-critical global engagement.
The benefits on offer?- Annual bonus
- Pension contributions
- 6 weeks of paid and mandatory vacation
- Company bistro
- Work from Home package (office chair, 24” monitor, wireless keyboard and mouse)
- We support flexible working, and you can choose when you are remote. You can set this up with your team based on your best way of working.
- 6 months paid parental leave and ability to come back at 80% time for full pay for 26 weeks after your return
- Relaxed dress — jeans and T-shirt
- Holiday & special occasion gifts and many discounts
Health
- Private Health Package (in Denmark, heath care is free, so this is additional care)
- Onsite optician and physiotherapy
- Relaxation sessions and massage
- Onsite gym with classes (spin, yoga) and trainers available
- Flu vaccination onsite
Social/Activities
- Access to various clubs with discount activities from Art club to Yacht club to Angling club with planned fishing trips to Brewing club
- Indoor virtual golf onsite
- Employee resource groups and activities, for example Pride@Maersk fior the LGBTQ+ community and allies or the PWN which is a network of brave women who want to make a real change on inclusive leadership and equitable career progression for women in Maersk.
- Full access to the O'Reilly learning library
- Safe bike parking & showers/lockers for commutes
- One Maersk Friday Bar on last Friday of each month (DJ, specialty beer and cocktails)
- Internal boutique deli selling wine, cheese, sweets for quick pickups on the way home.
- Subsidized specialty coffee boutique onsite
Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Azure Data pipelines DevOps Docker Engineering GitHub Kubernetes Machine Learning Model training Pipelines PostgreSQL Python SDLC Security Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Medical leave Parental leave Salary bonus Startup environment Yoga
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