Data Scientist Predictive Maintenance - Heidelberg, Deutschland - Heidelberg Materials AG

Heidelberg Materials AG

Geprüftes Unternehmen

Heidelberg, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

In our mission to become the first industrial tech company in the sector, we decided to bundle Data Analytics, Data Science, AI and Hyperautomation (RPA)

within our new team "Data & Insights".

We build a rock-solid foundation by putting in place the processes, organizational structures, technical infrastructure, training, and enablement to support broad adoption of our solutions.

We will pave new ground to transform Heidelberg Materials to a modern data driven company.

As a Data Scientist Predictive Maintenance, you will report to the Senior Manager AI and MLOps.

You will be part of the product team "HProduce Maintain" and work collaboratively with other Data Scientists and Software Engineers on the Kiln Monitoring System Software, improving, developing and implementing anomaly detection.

In this role, you will have the chance to stay up-to-date with the latest machine learning technologies and create impactful solutions that help us prevent (kiln) production stoppages.

Hence, with your data science models, you will contribute to reduce costs and help us meet our sustainability targets.

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:

Acquire indepth knowledge into cement plant operations, sensor data and maintenance engineering to know your data
Work with IoT data sets, sensor data, and timeseries data to identify patterns, extract valuable insights, and optimize maintenance schedules.
Utilize timeseries modeling techniques (e.g. ARIMA, SARIMAX, ET, LSTM, TimeGPT, regression models) to forecast equipment failure, detect anomalies, and mitigate potential risks.
Collaborate with crossfunctional teams to develop and implement Anomaly Detection solutions for enhancing fault detection capabilities.
Implement MLOps practices to ensure seamless model deployment, monitoring, and performance optimization.
Leverage Databricks to analyze big data

Your profile:

Master or PhD degree in Computer Science, Engineering, STEM or related
A strong background in data science and machine learning, with handson experience in predictive maintenance
Proficiency in working with IoT data, timeseries data, and sensor data
Familiarity with MLOps principles and tools for ensuring efficient model development, deployment, and maintenance
Strong programming skills in languages such as Python, along with proficiency in data manipulation and analysis libraries.
Excellent problemsolving skills and the ability to work collaboratively in crossfunctional teams
A solid understanding of statistical modeling, data visualization, and datadriven decisionmaking

Preferred Qualifications:

Experience in the field of industrial manufacturing, equipment maintenance, or similar industries
Knowledge of cloud platforms such as AWS, Azure, or Google Cloud

Nice to haves:

Demonstrated expertise in building and deploying models for equipment failure prediction and anomaly detection
Familiarity with additional tools and frameworks like TensorFlow, Keras, or PyTorch
Experience using Databricks or similar big data processing platforms for analyzing and processing largescale datasets and establishing MLOps workflows.

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:

Attractive compensation including Christmas and vacation bonuses
Flexible working time models
Mobile working within Germany on up to three days per week
30 vacation days plus additional special vacation days
Individual onboarding with participation in the buddy program
Support for advanced training and continuing education
Company health management (various company sports groups, health and prevention campaigns, company doctor)
Ergonomic workstations with heightadjustable desks
Canteen with discounted and healthy meals
Employersponsored company pension plan
Attractive conditions and discounts at our cooperation partners (gyms, banks, online stores, etc.)
Job ticket

much more.

Job description:

Professional
Entry level

Heidelberg, Germany
Location

Full time
Contract

IT/Digital Transformation
Category