scikit-learn Jobs in Berlin.
All active scikit-learn roles based in Berlin.
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Data Scientist – Berlin
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BEST WORK OF YOUR CAREER
Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +10 million customers who trusted us with over 100B in assets. But we’re striving for more.
We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.
WHAT YOU'LL BE DOING
Our Operations Platform team leads the development of automated workflows and tools for our Operations and Customer Support staff to achieve an amazing customer experience.
To achieve this, we recognise that data isn't just a resource - it's a cornerstone. In this role you will:
- Plan and execute the roadmap for your services together with the team
- Play a pivotal role in designing the architecture of your data products, ensuring they are scalable, robust, and synergistic with our existing platforms
- Research, build, test and deploy models - this is where you will spend most of your time. With a focus on team ownership, this gives a lot of time for our developers and data scientists to actually work technically instead of with process
- Once deployed, you will continue to oversee your products, monitoring their performance metrics and making data-driven adjustments as needed to optimise result
WHAT WE'RE LOOKING FOR
- at least 5 years of end-to-end data science and software engineering experience, preferably in a dynamic environment with a modern tech stack
- Experience working in Operations, specifically significant experience in customer service automations
- Experience with applying a wide variety of machine learning techniques to business problems, particularly with tabular and natural language data
- Strong command of SQL, Python together with its scientific stack (numpy, pandas, matplotlib, scikit-learn)
- Good understanding of Software Engineering practices (e.g. test-driven development, OOP, CI/CD, etc.) and experience with productionizing ML products
- Recent hands-on experience in deploying and maintaining an AI agent/workflow powered by LLMs, using both low level SDKs (openai, anthropic, google-genai,..) and prompt engineering frameworks (llama-index, langchain, dspy, ..)
- General understanding of LLMOps principles, for evaluating, testing, versioning and experimenting prompts in staging and production (langsmith, langfuse, arize-phoenix, lunary, ..)
WHY YOU SHOULD APPLY NOW
Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!
We believe it’s our team’s varied identities and backgrounds that make us sharper and stronger. We’re committed to creating an environment where everyone feels respected and has equal opportunity to thrive in their careers. For any questions on DEI during the interview process, reach out to your recruitment partner.
Ready to apply?
Apply to Trade Republic
Atolls is the world’s largest community-driven shopping platform, active in 20+ markets.
We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.
Our 1,000+ team across 10 countries builds products used every day at global scale, where you’ll have real ownership and see your impact. Want to shape the destinations people rely on to shop with confidence? Keep reading.
About This Role:
We are looking for a Senior Data Analyst (Community & Product Forensics) to join our Community Data Team team in Berlin and surrounding area. At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. You will be our "Data Detective," responsible for performing deep-dive analytics on high-volume event data, ensuring its accuracy, and uncovering insights to drive community growth. As a key part of our team, you'll be directly involved in building and enhancing the digital destinations our users rely on throughout their shopping journeys.
Your contributions will help shape how millions of consumers interact with our platforms, guiding them to make smart, fair, and rewarding choices.
Our Benefits:
At Atolls, we believe in nurturing both your professional and personal growth. Here’s what you can expect:
- A culture that values personal and professional development, with internal mobility opportunities.
- A supportive and open-minded team that embraces diverse perspectives and innovative ideas.
- 32 days of paid vacation plus your birthday off, giving you the time you need to recharge.
- A flexible hybrid working scheme to balance work and life.
- Access to a learning budget and internal training to help you grow in your role.
- Mental health coaching to support your well-being.
- Regular global and local get-togethers to celebrate successes and build connections.
- The possibility of taking a sabbatical after three years with the company.
- A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.
*These are global benefits that apply to all employees, with additional local perks based on your location.
Responsibilities:
In this role, you will:
- Technical Investigation & Forensics: Identify and resolve data discrepancies. If a metric looks "off," you'll use your knowledge of web/app technologies (inspecting network requests, tracking pixels, or API responses) to find the root cause.
- Deep-Dive Community Analytics: Analyze complex member behaviors—retention cohorts, engagement velocity, and viral loops—to drive community growth.
- Data Science & Modeling: Move beyond descriptive stats by building and deploying models (e.g., Churn Prediction, Sentiment Analysis, or Member Segmentation) using Python.
- High-Performance SQL: Master our ClickHouse environment, writing optimized queries that leverage columnar storage to process billions of rows of interaction data.
- Data Hygiene: Audit "dirty" data and build robust logic to handle bot activity, duplicate identities, and tracking gaps.
Your Profile:
We're looking for someone with experience in writing complex SQL, investigating web/app event data, and building predictive models in Python, who is dedicated to creating exceptional user experiences and driving innovation.
- Expert SQL: Advanced mastery of SQL (CTEs, Window Functions, Optimization) specifically for columnar databases (ClickHouse experience is a massive plus).
- Web/App Technical Literacy: Basic understanding of how web/app tracking works. You should be comfortable using tools to inspect network payloads and debug event triggers.
- Analytical Intuition: A "sixth sense" for spotting data anomalies and the tenacity to investigate them until they are solved.
Nice-to-Haves:
- Workflow Automation: Basic knowledge of Airflow for scheduling analytical scripts.
- Data Science Toolkit: Proficiency in Python (Pandas, Scikit-learn) for statistical modeling and complex data manipulation.
- Community Domain Knowledge: Experience analyzing developer communities, forums, or social platforms.
Our hiring process:
- TA Call: Meet one of our Talent Experts and get to know Atolls better.
- Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager.
- Final Round: Meet other Atollians 🏝️
It varies from 1 to 3 interviews
*Some processes might slightly change according to needs
Ready to apply?
Be part of a destination where your work helps millions of people make better decisions every day. One focused application is all we need. If you truly fit more than one role, you’re welcome to apply to up to three. This helps us match you with the right opportunity faster.
We review every application with equal care and will reach out if your profile aligns. Apply now with your CV in English.
*Portfolios, writing samples, or certifications may be requested based on the role.
#LI-PM1 #LI-Hybrid
At Atolls, we want to ensure that all employees can thrive in an inclusive environment. Our employment opportunities are open to every gender, race, religion, age, sexual orientation, ability, place of origin, or socioeconomic status. We remain committed to a culture of diversity, equity and belonging, where all employees are welcomed, respected, connected, and engaged.
Ready to apply?
Apply to Atolls
Staff Data Analyst, Marketing Analytics
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Change the way the world travels
Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours.
Ready to unlock your potential with a community of fellow explorers? Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step.
Team mission
The Analytics department’s mission is to enable the Marketing organisation to take action based on data. We work on a variety of problems and datasets as members of cross-functional mission teams. We take ownership of the entire analytics funnel, from exploration through recommendations to impact measurement, and take pride in the insights we generate.
This specific position is within our Marketing Analytics team whose objective is to help our marketing scale our investments towards the most incremental and loyal customers. This is a very strategic position within the team as the Analyst will look at solving cross-channel problems in order to accelerate our growth. This means for example addressing the best strategy to grow our display and mid-funnel spend and understanding the behaviour of our repeat audiences.
Your mission
- Develop quantitative analysis and statistical models to evaluate and steer marketing decisions
- Propose and defend strategic recommendations to our top marketing leads
- Setup and analyse marketing experiments to drive strategic decision making
- Explore large datasets, give meaning to data and numbers, identify opportunities and issues, and present findings to stakeholders
- Maintain and improve our marketing measurement tools (Attribution, experimentation framework, Customer lifetime value…)
- Serve as a liaison between the marketing teams and the data engineering team
- Mentor others in the skills needed for this role
Your toolkit
- 8+ years of relevant experience interpreting data in an analytics, data science or business intelligence role
- Strong knowledge of SQL and Python for analysis (eg, pandas, scikit-learn, pyspark)
- Ability to understand user behavior and meaning behind the numbers and a track record in sharing insights to business stakeholders
- Prior exposure to digital and performance marketing or SEO, especially data-driven platforms such as Google Ads and Meta.
- Experience with data visualization and reporting tools (e.g. Looker, Jupyter Notebooks, Databricks)
- Desire to work in an international environment, with minimal direction and with highly engaged individuals
- Excellent written and verbal communication skills in English
Extras that give you an edge
- A track record in solving marketing and growth challenges and influencing decisions/driving business results
- Experience in understanding and modelling marketing journeys
- Experience with big data tools (e.g. Spark, Hive) is a plus
How we’ll make your career journey extraordinary
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 30 days per year
- A hybrid working approach with three days of in office collaboration (Mon, Tue, Thur) and two days of optional at home focus time.
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
And more…
How to apply
Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at jobs@getyourguide.com.
We’re an equal opportunities employer
Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application.
#LI-Hybrid
Ready to apply?
Apply to GetYourGuide
Senior MLOps Engineer
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ABOUT TALON.ONE:
Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.
Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.
ABOUT THE TEAM:
We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.
ABOUT THE ROLE:
We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.
ONCE YOU ARE HERE, YOU WILL:
- Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
- Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
- Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
- Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
- Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
- Maintain model registries, metadata tracking, and experiment management tools.
- Advocate for and help implement best practices in MLOps across the organization.
- Ensure compliance with security, governance, and ethical AI guidelines.
WHAT WE EXPECT YOU TO BRING TO THE TABLE:
- 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
- Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
- Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
- Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Experience implementing monitoring and alerting systems for ML pipelines and APIs.
WHAT'S IN IT FOR YOU:
- A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
- Leaders with 8+ years of experience building our promotions engine
- €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
- 30 days of annual leave, plus extra paid days for your birthday and moving day
- Home office setup budget, a monthly home office allowance
- Freedom to work from abroad for up to 90 days worldwide!
- Mental health support with nilo.health and a discounted Urban Sports Club membership
- 20% company subsidy on your pension contributions
- Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
- Lease your ideal bike through BusinessBike
Ready to apply?
Apply to Talon.One LinkedIn JobsABOUT THE TEAM:
We're a passionate cross-functional team of engineers, data scientists, product manager, and an engineering manager, dedicated to all things data. You'll be at the centre of our expanding Intelligence Tribe. We're enthusiastic about exploring new tools and technologies, and we thrive on brainstorming to solve challenges and apply best practices.
ABOUT THE ROLE:
We are seeking a Senior MLOps Engineer to join our growing Intelligence Platform team. In this role, you will be responsible for designing, developing, and maintaining robust MLOps infrastructure and workflows that support the deployment, monitoring, and scalability of our machine learning models. You’ll work closely with data scientists, engineers, and Infrastructure team to streamline the machine learning lifecycle and bring cutting-edge solutions into production.
ONCE YOU ARE HERE, YOU WILL:
- Build and maintain MLOps pipelines to automate data preparation, model training, evaluation, deployment, and monitoring of ML models and data pipelines.
- Design scalable infrastructure using our cloud platform and tools like Kubernetes, Docker, and Terraform.
- Implement CI/CD for ML models, ensuring reproducibility, reliability, and version control.
- Monitor model performance and data drift in production, and implement automated retraining workflows as needed.
- Collaborate with data scientists and engineers to operationalize machine learning models in a secure, efficient, and scalable manner.
- Maintain model registries, metadata tracking, and experiment management tools.
- Advocate for and help implement best practices in MLOps across the organization.
- Ensure compliance with security, governance, and ethical AI guidelines.
WHAT WE EXPECT YOU TO BRING TO THE TABLE:
- 6+ years of experience in software engineering or DevOps, with at least 3+ years in MLOps or ML infrastructure roles.
- Experience deploying and managing machine learning systems at scale, preferably in high-availability, real-time environments with low latency and high throughput.
- Experience with building or maintaining scalable ML infrastructure (e.g., CI/CD for models, auto-scaling, load balancing, blue-green deployment, canary releases, shadow testing, etc.).
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
- Proficiency with Google Cloud Platform and infrastructure-as-code tools like Terraform.
- Hands-on experience with tools like Vertex AI, MLflow, Kubeflow, Airflow, or SageMaker.
- Experience with containerization and orchestration technologies (Docker, Kubernetes).
- Experience implementing monitoring and alerting systems for ML pipelines and APIs.
WHAT'S IN IT FOR YOU:
- A Research and Development Department of 90+ of engineers, product managers and product designers in Berlin
- Leaders with 8+ years of experience building our promotions engine
- €1,000 annual learning budget, full LinkedIn Learning access, and free German language courses to boost your skills
- 30 days of annual leave, plus extra paid days for your birthday and moving day
- Home office setup budget, a monthly home office allowance
- Freedom to work from abroad for up to 90 days worldwide!
- Mental health support with nilo.health and a discounted Urban Sports Club membership
- 20% company subsidy on your pension contributions
- Discounted BVG public transport ticket and bring along your furry friend to our dog-friendly Berlin office!
- Lease your ideal bike through BusinessBike
WHY YOU SHOULD WORK FOR US:
- The right attitude: modern methods and a diverse, creative workspace with an open and international culture
- Everyone for the product: Together we create a flexible, highly scalable product with state-of-the-art technologies. We can only succeed if everyone works as a team
- Healthy Growth: Growing our company means growing everyone in the team. We love to share knowledge and learn
- A great environment: Flexible and family-friendly environment, bright and easily accessible offices, modern software and hardware
- High flexibility degree: Prefer to work early or late at night? Do you have to pick up your children from kindergarten? Do you prefer working abroad? We believe in results and motivated employees
Do you want this job?
We’d love to hear from you! Apply directly via the form below.
Talon.One is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make employment decisions on the basis of race, color, religious belief, ethnic origin, nationality, sex, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by company policy. As an employer we strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
Find out more about our Candidate Privacy Policy.
Ready to apply?
Apply to Talon.One