Data Science Manager

Mover Systems; København; On-site; DKK 900,000 - 1,200,000; Full time

Job summary

Mover Systems, a Danish logistics technology company, is seeking a Data Science Manager to lead a team of data scientists and engineers responsible for architecting, deploying and operationalizing advanced ML models that drive our state-of-the-art route planning capability.

You will guide the function's growth, own the data science roadmap, and collaborate with product, engineering and customers to deliver scalable, measurable impact across thousands of drivers daily.

Qualifications

• Master's degree or PhD in computer science, mathematics, physics, statistics, or a quantitative ML field.
• 8+ years of experience in data science or applied ML, with 3+ years in people management.
• Proven ability to lead teams and deliver data-driven product improvements.
• Strong Python and SQL skills with experience in ML tooling and production workflows.

Responsibilities

• Lead and manage a team of Data Scientists and Software Engineers.
• Define the data science roadmap and prioritize value for product and customers.
• Guide technical decisions on model selection and feature engineering.
• Translate customer problems into data science workstreams.
• Establish production metrics and dashboards for continuous improvement.
• Mentor team members and maintain high deployment rigor.

Skills

Team leadership

Data science leadership

Python

SQL

Machine learning

Communication

Education

Master's or PhD in CS/Math/Stats/ML

Tools

Airflow

Docker

DuckDB

DBT

Spark

MLflow

Job description

Founded in 2016, Mover is a Danish logistics technology company on a mission to change logistics for good, cutting waste and making deliveries smoother for everyone involved.

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

About you

• 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.

What success looks like

• After 6 months at Mover you have helped launched a new data product.

Our culture

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.