You lead a team of Data Scientists and a Data Engineer, focusing on innovation and the effective implementation of machine learning models while ensuring alignment with stakeholders and measuring their impact.
Anforderungen
- •MINT University degree or equivalent experience
- •Domain knowledge of the cement industry preferred
- •Experience with Databricks or similar solutions preferred
- •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
- •Willingness to travel
Deine Aufgaben
- •Lead and mentor a team of Data Scientists and a Data Engineer.
- •Empower the team to innovate and deliver high-quality solutions.
- •Provide a vision for scaling machine learning models to production.
- •Define standards and tools for business value creation.
- •Establish best practices for MLOps processes and integration.
- •Ensure alignment within the Data & AI team and stakeholders.
- •Drive high-value use cases and measure impact.
Deine Vorteile
Flexible working time models
30 vacation days
Attractive compensation package
Learning & development options
JobTicket and discounts
Company fitness room
Individual onboarding program
Modern ergonomic headquarters
Canteen with discounted meals
Bicycle and underground parking
Original Beschreibung
# Manager Advanced Analytics & MLOps (f/m/d)
**Heidelberg** | **Full time**
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 that 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.
* 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.