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Senior Data Scientist (m/f/d)

talpasolutions

Data Science

Remote

Posted on Feb 6, 2026

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Your mission

You are an experienced, hands-on Data Scientist who enjoys working broadly across the entire data journey, from understanding real customer problems and messy sensor data to deploying scalable solutions in production. You are comfortable switching between analysis, modelling, engineering, and collaboration, depending on the actual needs.

At TALPA, you will work on real-world challenges such as anomaly detection, predictive and preventive maintenance, machine activity recognition, and root-cause analysis for heavy and construction machinery. You will collaborate closely with other Data Scientists, ML Engineers, MLOps Engineers, and domain experts to build solutions that are not only technically strong but also create measurable value for our customers.

This is a role for people who want to build, ship and improve - not just prototype models. You will have ownership, autonomy, and responsibility, and you will see your work running on thousands of machines in the field.

Key Responsibilities:

Take ownership of data science projects end to end: from problem framing and data exploration to modeling, deployment, and iteration in production together with our ML and ML Ops Engineers.
Design, develop, and deploy algorithms that turn raw machine data into actionable insights, including predictive maintenance, anomaly detection, and machine activity detection.
Work with noisy, unlabelled, and heterogeneous data, applying appropriate techniques across time series, image, and text data when relevant.
Collaborate closely within the Data Science team and across disciplines, openly discussing assumptions, trade-offs, and results to reach the best solutions together.
Engage regularly with engineers, domain experts, and customers, translating real-world needs into scalable data-driven solutions.
Contribute to production-quality codebases and infrastructure, applying solid software engineering and quality practices throughout the stack.

Your profile

At least 3 years of experience (past Master’s degree) developing and deploying ML models to solve real-world problems in either industrial, commercial or academic settings.
A solid theoretical understanding of machine learning algorithms and the statistical principles behind them.
Experience with multi-variate and multi-scale time series sensor data.
Proven experience in handling all phases of ML model creation: from gathering requirements and processing raw data through to model development, deployment, and validation.
Proven experience building deep learning models with TensorFlow or PyTorch.
Strong communication and interpersonal skills with proven ability to explain complex technical problems to non-technical audiences.
Self-motivated learner with the ability to thrive in an interdisciplinary, diverse environment.
Willingness to work from the office in Essen Rüttenscheid once or twice per week (hybrid).

Nice to have:

Experience with RAG systems, AI agents, large language models (ChatGPT, Llama, Claude, Gemini, DeepSeek), HuggingFace, and LangChain.
Published research papers, particularly in machine learning or artificial intelligence.
Visible record of contributing to OS projects or personal projects on git.

Why us?

TALPA is a value-driven organization, and we are excited about what we do. Exploration, Collaboration, Empowerment, Accountability and Empathy - these are our values. If they are your guiding compass, you will fit right in!

As a team, we bring our diverse backgrounds, beliefs, and experiences together. We support and challenge one another to bring out the best in each of us, and we might even have a little fun along the way. We care about you. Here is a glimpse of what makes life at talpasolutions special:

Our culture is diverse and inclusive. We are one team with many voices.
Agile performance: You actively participate in setting your challenges and goals via objectives and key results. Your lead continuously provides feedback and coaches you in dedicated sessions.
€1200 training budget for training courses of your choice, such as conferences (national or abroad), online learning platforms, etc.
We believe in trust. You know how you operate at your best. Free choice of hardware and operating system and flexible working hours and unlimited vacation policy are some ways how we will support you.
We want your life to be hassle-free. That’s why you will find free food & drinks in our kitchen.
We have a fully-equipped in-house gym on the office premises available 24/7.
Bring your whole self to work and find a community. Whatever your passion, you will likely find like-minded people at talpasolutions.
It is as a team that we operate at our best. We offer regular happiness activities that bring all of us together.
We are a diverse team and want to grow as such. If you are looking to relocate to Germany to join us, we are happy to share our knowledge and help you through the relocation process.

People are at the centre of everything we do here at TALPA. We grew to what we are today because of the cooperation of unique people, and we need unique and diverse people to achieve where we want to go as a company. As a result, TALPA as an equal-opportunity employer prohibits discrimination based on race, color, religion, sexual identity, gender identity, marital status, veteran status, nationality, citizenship, age, disability, medical condition, or any other unlawful consideration. We evaluate your application based on merit and keep your information confidential according to local law and best practice.

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About us

Join TALPA and help shape the future of industrial analytics.

We harness advanced technology to transform how industries understand and improve equipment performance. Our platform supports a wide range of sectors, including mining, construction and logistics, by integrating real-time and historical data to deliver actionable insights and enhance operational efficiency.
At TALPA, we foster a culture of exploration and empathy, where collaboration and accountability go hand in hand. We empower each other to take initiative, grow through challenges and contribute meaningfully to our shared mission.

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