Job Req Number: 66404
Time Type: Full Time
PLEASE REMEMBER TO CLICK "APPLY" BUTTON AFTER SAVING YOUR PROFILE TO COMPLETE YOUR APPLICATION PROCESS.
All applications must be sent in English.
DSV is undergoing a digital transformation that affects its operational systems landscape, reporting, and analytics components. To support this transformation, the Centre of Insight and Analytics (CIA) in Global Finance is seeking a Data Scientist with strong MLOps competence to join our team. In this role, you will be responsible for developing and deploying machine learning models, as well as optimizing and automating the end-to-end ML (Machine Learning) lifecycle. You will collaborate closely with cross-functional teams, including business analysts and data engineers, to ensure the successful implementation and integration of advanced analytics solutions.
- Develop and implement machine learning models to address various business challenges and opportunities.
- Participate in the collection and analysis of ML-related business requirements
- Collaborate with cross-functional teams to ensure that all ML models are effectively integrated into business processes and systems.
- Optimize and automate the end-to-end ML lifecycle, including data preparation, model training, validation, deployment, monitoring, and maintenance.
- Ensure the robustness, scalability, and performance of machine learning solutions in production environments.
- Stay up-to-date with the latest advancements in ML techniques and MLOps best practices, and drive their adoption within the organization.
- Communicate complex data science concepts to stakeholders and executive management in a clear and concise manner.
- Mentor and guide junior data scientists in the team.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- At least 5 years of experience in data science and machine learning, with a strong focus on MLOps.
- Proficiency in Python, and experience working with ML libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with MLOps tools and platforms, such as MLflow, Kubeflow, or Azure Machine Learning.
- Strong understanding of data engineering and data warehousing concepts.
- Familiarity with Agile methodologies and experience working in Agile project environments.
- Excellent communication and collaboration skills in English.
- Strong problem-solving, analytical, and critical-thinking skills.
- Ability to work independently and as part of a team in a fast-paced, dynamic environment
What we offer:
- Challenges in an international environment
- Career development opportunities
- Internal training catalogue
- Permanent contract
- Private medical care
- Comprehensive onboarding program
- Scandinavian work culture
- Work-life balance
- Culture of feedback
- Work schedule 35h/week
- Hybrid and flexible work
- Good access to public transports
DSV – Global Transport and Logistics
DSV is a dynamic workplace that fosters inclusivity and diversity. We conduct our business with integrity, respecting different cultures and the dignity and rights of individuals. When you join DSV, you are working for one of the very best performing companies in the transport and logistics industry. You’ll join a talented team of more than 75,000 employees in over 80 countries, working passionately to deliver great customer experiences and high-quality services. DSV aspires to lead the way towards a more sustainable future for our industry and are committed to trading on nature’s terms.
We promote collaboration and transparency and strive to attract, motivate and retain talented people in a culture of respect. If you are driven, talented and wish to be part of a progressive and versatile organisation, we’ll support you and your need to achieve your potential and forward your career.