Data Science Manager
Mover Systems
Are you passionate about solving complex challenges with real-world impact using state-of-the-art models and algorithms? We are seeking a Data Science Manager to join our team. In this high-impact role you will lead a team of data scientists and engineers to architect, deploy and operationalize advanced algorithms and machine learning models that drive our state-of-the-art route planning capability. You will guide your team to deliver accurate, scalable and efficient solutions for thousands of drivers every day. As our Data Science Manager, you will shape how the function grows, and have a truly outsized impact on our product and the value we bring to our customers.
What You'll Be Doing
- Lead and manage a team of Data Scientists and Software Engineers, fostering a culture of innovation, scientific rigor, and operational excellence
- Define the data science roadmap, and help decide where the team can create the most value for the product and our customers
- Dive deep into the work as a player-coach to guide hard technical calls and unblock the team
- Drive architecture decisions including model selection, feature engineering from product catalogs, and evaluation metric frameworks
- Translate ambiguous customer problems into well-scoped data science and ML workstreams
- Establish and monitor classification metrics, model performance KPIs, and production health dashboards to ensure continuous improvement
- Communicate complex technical concepts effectively to non-technical customers, stakeholders and leadership
- Mentor and develop team members through career coaching, technical guidance, and structured growth plans
- Drive operational rigor ensuring zero-disruption deployments, data quality standards, and robust experimentation practices
- A Master’s degree or PhD in computer science, mathematics, physics, statistics, machine learning or equivalent quantitative field
- 8+ years of experience in data science or applied machine learning, with 3+ years in a people management role
- Proven track record of leading, mentoring and managing other data scientists and/or engineers
- Knowledge of Computer Science and Machine Learning fundamentals, including training/inference lifecycles, and optimization techniques. You have a large tool-box
- Practical skill and experience applying your knowledge to messy, real-world problems
- Comfort switching between hands-on technical work and people leadership
- Strong written and verbal communication skills
- Genuine curiosity about customers and product
- Strong programming proficiency in Python and SQL, and preferably familiarity with airflow, docker, duckdb, dbt, spark, mlflow.
- After 6 months at Mover Systems you have launched a new data product.
We move fast. We expect people to own problems end-to-end, not wait to be told what to do. You know best, so you need to bring a lot of creativity. We obsess over the people who use our software, from logistics planners to drivers, and we would rather ship a small improvement this week than a perfect one next year. We are direct and honest with each other, including about our own mistakes, and we hold a high bar for quality. Technical colleagues are not kept at arm's length from customers - you will talk to them directly, and use what you learn to decide what to build next.
Interested? We would love to hear from you.
Mover is a Danish transport and tech-company providing a unique combination of flexible logistics solutions and state-of-the-art technology that can increase efficiency, improve customer experiences and reduce the environmental footprint of transportation. This is how we meet the increasing demands for fast, low-cost and extraordinary transport experiences. For the benefit of businesses, consumers and the environment.
We are experiencing a movement towards companies and customers expecting transparency and control of how their goods are transported and delivered. It has to be easy, low-cost and in consideration of the environment. Mover’s business model supports this by combining flexible logistics solutions with the newest technology.