Jobbeschreibung
Heidelberg Materials is one of the world's largest integrated manufacturers of building materials and solutions with leading market positions in cement, aggregates, and ready-mixed concrete. We are represented in more than 50 countries with around 51,000 employees at almost 3,000 locations.
At the centre of our actions lies the responsibility for the environment. As the front runner on the path to carbon neutrality and circular economy in the building materials industry, we are working on sustainable building materials and solutions for the future. We enable new opportunities for our customers through digitalisation.
For our Department Digital-Technology , we are looking for a Manager Advanced Analytics & MLOps (f/m/d). The role is based at our Headquarters in Heidelberg, Germany, and reports to the position Head of Data & AI.
In our Data & AI Team, we seamlessly blend classical data analytics with cutting-edge methodologies like GenAI to craft innovative solutions. The Manager Advanced Analytics and MLOps will lead a team of Data Scientists dedicated to pushing the boundaries of data science and operationalizing machine learning models.
The Data Scientists are currently driving impactful projects such as Cement Strength Prediction, Predictive Maintenance, and a computer vision project for Biodiversity KPIs. Alongside the Advanced Analytics and MLOps team, we have a GenAI Team, a Hyperautomation team, and two Data Analytics teams, each contributing uniquely to our dynamic environment. If you're enthusiastic about leveraging data science and machine learning to achieve transformative business outcomes, we invite you to join us on our exhilarating journey towards innovation and excellence. You will be part of a diverse and international team hat values gender equity and welcomes individuals from all backgrounds and identities
YOUR NEXT CHALLENGE
Lead and mentor a team of skilled Data Scientists and one Data Engineer who work in cross functional teams contributing to our strategic pillars such as HProduce, ESG, and AI.
Empower team to deliver high-quality solutions that push the boundaries of innovation
Provide a vision to your team about how to bring machine learning models at scale to production
Define standards and tools for your area of responsibility, so that your team can focus on business value creation
Define and uphold best practices for MLOps processes, ensuring robust version control, reproducibility, and seamless integration of new technologies.
Ensure great alignment within the Data & AI team and key stakeholders around
Drive use cases with high business value and enable the impact measurement
YOUR PROFILE
MINT University degree or equivalent experience
Domain knowledge of the cement industry would be advantageous
Experience in working with Databricks or similar solutions would be a plus
4+ years of practical experience in Data Science
Proven analytical and problem-solving skills
Experience with agile methodologies
Willingness to learn new technologies
Solid experience in tools like Python, Docker, Kubernetes, and Apache Spark.
Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders
Willingness to travel
OUR OFFER
We are convinced that only those who successfully realize their personal goals can also fully contribute professionally. That's why we offer you attractive benefits, such as:
Flexible working time models with up to 50% remote working within Germany
30 vacation days plus additional special vacation days
Attractive compensation with profit share/bonus, Christmas, and vacation payment
Multiple learning & development options: support of job-related further training, various technical and leadership development programs
JobTicket, JobBike and further special conditions and discounts for e.g., gyms
Company fitness room, various sports classes, health, and prevention campaigns
Individual onboarding with buddy program as well as various networking initiatives (Network of Women, International Network etc.)
Modern headquarters next to the river Neckar with ergonomic workplaces and height-adjustable desks
Canteen with discounted and healthy meals
Bicycle and underground parking with charging stations - for e-bike and car
... and much more.
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