senior data engineer

data scientist

(senior) ai & generative ai engineer (all genders) Jobs in Berlin

ai & analytics engineer

ai/ml engineer - fully remote | upto $85/hr Jobs in Berlin

machine learning scientist

Audible

<div>
 
 Description
 
 
 
 At Audible, we believe stories have the power to transform lives. It&rsquo;s why we work with some of the world&rsquo;s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
 
 
 
 About This Role
 
 
 
 As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.
 
 
 
 About You
 
 
 
 Your work will focus on inventing or adapting scientific approaches, models, and algorithms driven by customer needs at the project level. You will develop components and/or end-to-end solutions that are deployed into production or directly support production systems, delivering consistently high-quality work that meets both scientific and engineering best practices. You will develop reusable science components and services that resolve architecture deficiencies and customers&rsquo; pain points, while making technical trade-offs for long-term/short- term. You will work semi-autonomously to deliver solutions, contribute to research papers at peer-reviewed venues when appropriate, and document your work thoroughly to enable others to understand and reproduce it. Your decision-making will consistently incorporate robust, data-driven business and technical judgment. You will collaborate with other scientists to raise the bar of both scientific and engineering complexity for the team and to foster valuable scientific partnership opportunities to help/guide science decisions. We work in a highly collaborative, fast-paced environment where scientists, engineers, and product managers work to test and build scalable foundational capabilities, as well as customer facing experiences. You will have the opportunity to innovate and think big within your projects scope, implement optimization services and algorithms, and influence the experiences of millions of customers. We are looking for a results-oriented Applied Scientist with deep knowledge in ML, NLP, Deep Learning, GenAI, and/or large-scale distributed computation.
 
 
 As an Applied Scientist, you will...
 
 
 <ul>
 <li>
 Understand use cases across the business and adopt/extend/design/invent solutions/models that are scalable, efficient, and automated for difficult problems that are not well defined
 </li>
 <li>
 Work closely with fellow scientists and software engineers (at Audible and Amazon) to build and productionize models, deliver novel and highly impactful features
 </li>
 <li>
 Review models of peers for the purpose of reducing and managing risk to the business, while improving customer experience
 </li>
 <li>
 Design, develop, and deploy modeling techniques and solutions for Content Understanding, Recommendations, GenAI-based product features, by employing a wide range of methodologies, working from simple to complex
 </li>
 <li>
 Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
 </li>
 <li>
 Push the boundary of innovation
 
 
 </li>
 </ul>
 
 About Audible
 
 
 
 Audible is the leading producer and provider of audio storytelling. We spark listeners&rsquo; imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 </li>
 <li>
 MSc + 5ys of relevant experience, or PhD +1 year in one of the following disciplines: Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field
 </li>
 <li>
 3+ years of experience in Deep Learning, Natural Language
 </li>
 <li>
 Processing/Understanding, GenAI and/or Reinforcement Learning
 </li>
 <li>
 Proficiency in Python, SQL, and other scripting languages
 </li>
 <li>
 Experience employing and innovating with LLMs/GenAI to solve complex problems
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 </li>
 <li>
 Experience with building Recommendation Systems
 </li>
 <li>
 Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
 
 
 </li>
 </ul>
 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
 
 
 m/w/d
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Audible GmbH - B38
 
 
 Job ID: A10450357
</div>

Applied Scientist

Mira

<div>
 
 About Mira
 
 
 
 Mira is a San Francisco-based hormonal health company that provides integrative care and hormonal testing to over 300,000 customers. In 2023, we were recognized by Inc. 5000 as America's fastest-growing femtech company.
 
 
 Mira&rsquo;s breakthrough innovation was creating the market&rsquo;s only FDA-compliant at-home hormone monitor with quantitative testing technology. From the beginning, our mission has been to make hormone data accessible and meaningful - so women can understand their bodies and make confident health decisions at every stage of life, from cycle health and family planning to hormonal imbalances and the menopause transition.
 
 
 We are committed to improving real health outcomes through personalized insights, cutting-edge technology, and science-backed data - turning hormone information into practical guidance for everyday wellbeing.
 
 
 
 About The Position
 
 
 
 Mira is building the future of women's hormonal health through quantitative hormone tracking technology. We're seeking an exceptional
 
 Data Scientist
 
 to be the founding member of our data science function. This is a unique opportunity to define and build the algorithmic foundation that will help millions of women better understand their reproductive health.
 
 
 As our first Data Scientist, you will own the entire research agenda - from defining what to measure and why, to building production-ready algorithms that interpret complex hormonal data across diverse populations. You'll work at the intersection of reproductive biology, machine learning, and regulated medical device development, translating cutting-edge science into features that ship in our consumer product.
 
 
 This role reports to the Head of R&amp;D and will eventually grow into leading a data science team as we scale.
 
 
 
 Requirements
 
 
 
 
 Must-have:
 
 
 
 <ul>
 <li>
 Strong Python and data science skills; SQL preferred.
 </li>
 <li>
 Experience with longitudinal, time-series, behavioral, health, wearable, physiological, or biomarker data.
 </li>
 <li>
 Experience using model interpretability and explainability methods: SHAP, LIME, etc.
 </li>
 <li>
 Experience in consumer health, digital health, wearables, diagnostics, medical devices, SaMD, or IVD.
 </li>
 <li>
 Strong model validation judgment, including handling missing data, avoiding leakage, testing robustness, and evaluating performance across user segments.
 </li>
 <li>
 Ability to translate data into user-facing product features, metrics, recommendations, or algorithms.
 </li>
 <li>
 Experience building models, scores, or analytical frameworks that influenced product, clinical, or business decisions.
 </li>
 <li>
 Strong communication skills with both technical and non-technical stakeholders.
 </li>
 <li>
 High ownership, startup speed, and comfort working with ambiguity.
 </li>
 <li>
 Good scientific judgment; able to distinguish product insights from clinical or marketing claims.
 
 
 </li>
 </ul>
 
 Nice-to-have
 
 
 
 <ul>
 <li>
 Experience with menstrual cycle, fertility, reproductive health, hormones, or women&rsquo;s health data.
 </li>
 <li>
 Advanced degree in a quantitative, biomedical, physics, or health-related field.
 </li>
 <li>
 Experience with Bayesian statistics, signal processing, causal inference, survival analysis, or longitudinal modeling.
 </li>
 <li>
 Experience moving ML or algorithmic features toward production.
 </li>
 <li>
 Familiarity with clinical validation, regulatory documentation, claim substantiation, or peer-reviewed research.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and improve biometrics, algorithms, and data-driven insights for the Mira App.
 </li>
 <li>
 Analyze hormone, cycle, app behavior, and user outcome data to identify patterns and product opportunities.
 </li>
 <li>
 Develop and validate models for ovulation prediction, cycle modeling, hormone interpretation, and personalized recommendations.
 </li>
 <li>
 Partner with Product, Design, Engineering, R&amp;D, and the Real-World Evidence Scientist to translate data into app features and evidence-backed insights.
 </li>
 <li>
 Support RWE and clinical research projects with data extraction, exploratory analysis, modeling, and validation.
 </li>
 <li>
 Define model-performance and validation frameworks, including uncertainty, subgroup performance, missing data, and edge cases.
 </li>
 <li>
 Improve data quality by identifying instrumentation gaps and recommending better data capture in the app.
 </li>
 <li>
 Document model logic, assumptions, limitations, and appropriate use cases clearly for technical and non-technical teams.
 </li>
 <li>
 Work with Engineering to move prototypes toward production-ready app features or data pipelines.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Join one of the fastest-growing femtech companies in the U.S., driven by a strong mission to advance women&rsquo;s health and expand access to care
 </li>
 <li>
 Be part of a passionate, highly motivated, and international team dedicated to making a real difference in people&rsquo;s lives
 </li>
 <li>
 Thrive in a fast-paced startup environment where your work directly impacts company growth, strategy, and key decisions
 </li>
 <li>
 Enjoy real opportunities for career growth, with the ability to shape, build, and develop teams as we scale
 </li>
 <li>
 Work in a flexible, fully remote environment that supports autonomy, ownership, and independence
 </li>
 <li>
 Receive a competitive salary along with a performance-based bonus system tied to OKRs
 </li>
 </ul>
</div>

Data Scientist (Remote EU, B2B contract)

Siemens

<div><div><div>Transform the everyday</div><div><div><div>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.
As Senior Principal Applied Scientist, you set the scientific direction for the pod. You decide which problems are worth solving with ML, what methods to apply, how to evaluate them, and how to move them from a research result to a model that runs in production. You are accountable for the science: the rigor, the evidence, and the outcomes.
This is a senior individual contributor role. Your impact comes from owning the hypotheses, the evaluation, and the path from research to production, and from raising the scientific bar across the team.<div> 
As part of our team, you will have</div></div></div><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. 
 
The individual benefits are subject to regulatory, contractual, or corporate conditions. 
You&rsquo;ll make an impact by<ul><li>
Set the applied science roadmap for the pod across the core AI capabilities the product depends on, for example multimodal perception, computer vision, language and agentic reasoning, time series modeling, control</li><li>
Convert product and system requirements into clear research questions, hypotheses, and success metrics</li><li>
Design and own the evaluation and benchmarking frameworks for generative and predictive models, including offline metrics, online experimentation, and robustness testing in industrial conditions</li><li>
Lead applied research projects end to end, from literature review and method selection through experimentation, ablation, and productization</li><li>
Work with engineers to take models into production grade pipelines: data readiness, optimization, inference, observability</li><li>
Influence architectural and system decisions with scientific evidence and tradeoff analysis</li><li>
Identify and de-risk scaling challenges: data quality, model drift, latency, throughput, cost, safety</li><li>
Mentor scientists and engineers on experimentation rigor, reproducibility, and documentation</li><li>
Champion responsible and trustworthy AI: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div> 
This is how you'll win us over<ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
10+ years in applied machine learning, AI research, or data science, with a track record of models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience setting the science direction for a portfolio of work and shipping it through to production with engineering teams</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Track record of building evaluation and benchmarking that the team can run a roadmap against</li><li>
Clear written and verbal communication, with the ability to explain complex ML concepts to engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience setting science direction across multiple capability areas at the same time</li><li>
Experience bringing applied research into real world products in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Breadth across multimodal ML, generative AI, retrieval, agentic workflows, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Experience standing up evaluation, online experimentation, or production monitoring as practices, not just for a single model</li><li>
Publications, patents, open source contributions, or significant internal technology transfers that the field can point to</li><li>
Experience hiring and mentoring senior or staff level scientists</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You set scientific direction, lead with autonomy, and raise the bar for rigor and collaboration across teams</li><li>
Languages: business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><div><div> 
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. 
About us
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
FAQ &ndash; if you need further information on the application process.</div></div></div>

Senior Principal Applied Scientist (f/m/d)

Amazon

<div>
 
 Description
 
 
 
 Are you interested in how to build AI reasoning systems that give provably correct answers? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve operations customers better?
 
 
 Amazon Robotics is looking for a talented Applied Scientist. You will innovate on combining language models (LMs) with classical AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LMs to generate plans, using AI reasoning to verify plan correctness, learning efficient reasoning strategies, self-improving models. You will work on basic science and on business problems in robotics, automation and fulfillment across our operations.
 
 
 Key job responsibilities
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Work closely with other scientists and engineers, and be part of Amazon&rsquo;s diverse global science community.
 </li>
 <li>
 Publish your research in top-tier academic venues and hone your presentation skills.
 </li>
 <li>
 Be inspired by challenges and opportunities to invent new techniques in your area(s) of expertise.
 
 
 </li>
 </ul>
 A day in the life
 
 
 You'll meet regularly with your technical lead and your team on your ideas, get guidance and feedback, work together on architectures and algorithms, author papers, build AI systems, all with the aim of delivering results for your operations customers. You'll work closely with other scientists to review your plans and results. You'll meet with engineers to implement your ideas at scale.
 
 
 
 About The Team
 
 
 
 The Veritas team is a science team working at the boundary between language models and classical AI reasoning. We work across on customer problems in fulfillment, automation and robotics. We focus on high quality research science informed by practical problems.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience in building models for business application
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 </li>
 <li>
 Experience implementing algorithms using toolkits and self-developed code
 </li>
 <li>
 Publication record in top tier venues in generative AI reasoning or classical planning
 </li>
 <li>
 PhD in a relevant field (reinforcement learning, neurosymbolic AI, LLMs for formal reasoning)
 </li>
 <li>
 Experience in reinforcement learning or neuro-symbolic AI
 </li>
 <li>
 Practical experience with PyTorch, the HuggingFace ecosystem, SageMaker, and RL tools
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 </li>
 <li>
 Experience using AWS tools and services - including AWS batch, Boto, S3, EC2 etc
 </li>
 <li>
 Strong skills in experimental design/statistical analysis
 </li>
 <li>
 Strong software engineering skills
 
 
 </li>
 </ul>
 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
 
 
 m/w/d
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Amazon Development Center Germany GmbH
 
 
 Job ID: A10376861
</div>

Applied Scientist, Amazon Robotics

atolls

<div><div><h3 class="jobSectionHeader">Atolls is the world's largest community-driven shopping platform, active in 20+ markets.</h3>

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.</div><div>
<div>
<h3 class="jobSectionHeader">About This Role:</h3>

We are looking for a Data Scientist to join our Community Data Team. At Atolls, you will be part of a growing applied ML capability &mdash; working on real problems that have a direct impact on how millions of users discover and interact with deals every day. You will build and iterate models that go into production &mdash; from predicting churn to understanding what makes a deal resonate with a community. We have rich behavioral data, a strong domain, and a clear belief that applied ML is one of the key ways we stay ahead. Beyond model building, you will also dig into complex statistical analyses and define the metrics that help us truly understand our users.

At Atolls, your role will be instrumental in helping us lead our community intelligence and data integrity efforts. As a key part of our team, you will be directly involved in shaping the intelligence behind the digital destinations our users rely on throughout their shopping journeys. Your work will help us understand our community better, build smarter products, and make sure millions of consumers can make good, fair, and rewarding choices.

<h3 class="jobSectionHeader">Our Benefits:</h3>

At Atolls, we believe in nurturing both your professional and personal growth. Here's what you can expect:
<ul>
<li>A culture that values personal and professional development, with internal mobility opportunities.</li>
<li>A supportive and open-minded team that embraces diverse perspectives and innovative ideas.</li>
<li>32 days of paid vacation plus your birthday off, giving you the time you need to recharge.</li>
<li>A flexible hybrid working scheme to balance work and life.</li>
<li>Access to a learning budget and internal training to help you grow in your role.</li>
<li>Mental health coaching to support your well-being.</li>
<li>Regular global and local get-togethers to celebrate successes and build connections.</li>
<li>The possibility of taking a sabbatical after three years with the company.</li>
<li>A cloud-based company setup, providing flexibility and collaboration opportunities no matter where you are.</li>
</ul>
<ul><li>These are global benefits that apply to all employees, with additional local perks based on your location.</li></ul>

<h3 class="jobSectionHeader">Responsibilities:</h3>

In this role, you will:
<ul>
<li>Data Science &amp; Modeling: Build and iterate ML models - Churn Prediction, Sentiment Analysis, Member Segmentation, and more &mdash; using Python (Pandas, NumPy, Scikit-learn, XGBoost). You will learn and grow through collaboration and code reviews, with the goal of taking independent ownership of models over time.</li>
<li>Deep-Dive Community Analytics: Analyze complex member behaviors - retention cohorts, engagement velocity, and viral loops &mdash; to uncover insights that drive community growth.</li>
<li>Problem Translation: Take fuzzy, real-world business questions - like &quot;what makes a deal good?&quot; - engage with domain experts, and turn them into something measurable and actionable.</li>
<li>High-Performance SQL: Master our ClickHouse environment, writing optimized queries that leverage columnar storage to process billions of rows of interaction data.</li>
</ul> <h3 class="jobSectionHeader">Your Profile:</h3>

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.

We hire for aptitude and drive above depth of experience. If you have the right foundation and the right mindset, we want to hear from you.

What we care about most:
<ul>
<li>Problem translation: You can take something vague like &quot;what makes a deal good?&quot;, talk to the right people, and figure out what to actually measure. For us, this matters most.</li>
<li>Intellectual honesty: You don't trust your own results just because they look good. You check anyway. This is something we won't compromise on.</li>
<li>Drive and curiosity: You want to get it right. You dig in, try things, and hold yourself to a high standard, not because someone asks you to, but because that's just how you work.</li>
</ul>
What you need to bring:
<ul>
<li>Solid Python skills and familiarity with core data science libraries (Pandas, NumPy, Scikit-learn) &mdash; you can actually build, not just describe</li>
<li>Sound understanding of ML and statistics fundamentals &mdash; core models, train/validation/test splits, overfitting &mdash; enough to learn fast under guidance</li>
<li>Solid SQL skills &mdash; comfortable with CTEs, window functions, and writing efficient queries</li>
<li>At least one self-built, end-to-end project on a messy or open-ended problem &mdash; where you had to figure out what &quot;good&quot; meant yourself, not follow a tutorial.</li>
</ul>
Also valued:
<ul>
<li><ul><li>Signals of applied curiosity &mdash; Kaggle, open-source contributions, personal projects or research in recommendation systems or LLMs</li>
<li>Community Domain Knowledge: Experience analyzing developer communities, forums, or social platforms</li>
</ul></li></ul><h3 class="jobSectionHeader">Our hiring process:</h3>
<div><ul><li>TA Call: Meet one of our Talent Experts and get to know Atolls better.</li></ul>
<ul><li>Technical Round: Focus on the technical aspects of the role (Through a Live Case), and meet your potential manager.</li></ul>
<ul><li>Final Round: Meet other Atollians ️ 
It varies from 1 to 3 interviews</li></ul>
</div>
<ul><li>Some processes might slightly change according to needs</li></ul>

<h4 class="jobSectionHeader">Ready to apply?</h4>
<div>
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. 
<ul><li>Portfolios, writing samples, or certifications may be requested based on the role.</li></ul>
#LI-PM1 #LI-Hybrid</div>
</div>
</div><div>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.</div></div><div></div>

Data Scientist (m/f/x)

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
 <div><div><h1 class="jobSectionHeader">Applied Scientist (all genders) - B2B Data Science and Algorithms</h1>
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfilment experience, and we see that to do this, Machine Learning, Operations Research and Data-driven solutions will play a pivotal role.
We are seeking an Applied Scientist who is fueled by the desire to build innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an existing team of Applied Scientists, and Machine Learning Engineers and work in a cross-functional setup with Product Managers, Data and Software Engineers.
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfilment efficiency. You will be building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services and emerging Agentic AI systems that generate these key insights for our partners and enable them to make data-driven decisions about their article assortment and inventory. You will play a key role in a cross-functional team!<h2 class="jobSectionHeader">
WHY YOU SHOULD BE INTERESTED&hellip;</h2><ul><li>
Shape the Product from Day One: You won't be a &quot;model factory&quot; stuck in a silo! You will be a core scientific partner, working directly with product and user research to define the problem, not just solve it. Your expertise will directly influence the product roadmap and identify new opportunities to create value for our partners.</li></ul><ul><li>
Solve High-Stakes, Complex Scientific Problems: This is your chance to go beyond standard forecasting. You'll be tackling cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting (including returns and lead-times), and building recommender systems for assortment planning. Your work will be at the absolute core of our partners' profitability.</li></ul><ul><li>
Pioneer Agentic AI &amp; Robust Evaluations: As we explore opening up MCP servers to our partners, you will contribute to defining how we measure their performance/success in the user&rsquo;s agentic journey. You will design and implement rigorous Agentic AI evaluation frameworks/metrics (e.g., LLM-as-a-judge, trajectory evaluation, and safety guardrails) to ensure the autonomous systems connecting to the MCPs act reliably and logically on behalf of our B2B partners.</li></ul><ul><li>
End-to-End Ownership: You will have the autonomy to see your ideas through from initial research and prototyping all the way to production. You will define the metrics for success, collaborate with engineers to deploy your models as scalable services, and monitor their real-world impact on partner KPIs.</li></ul><ul><li>
Drive Impact at a multi-merchant scale: Your solutions won't just help one partner. You will be building platform-level services that scale across hundreds of diverse partners/merchants, directly influencing millions of euros in merchandise value and shaping the future of a more sustainable and efficient e-commerce logistics network.</li></ul> 
WE&rsquo;D LOVE TO MEET YOU IF&hellip;<ul><li>
Educational background in a quantitative field - Masters degree or higher preferred.</li><li>
3+ years of hands-on industry experience in an Applied Scientist, Data Scientist, or Research Scientist role, applying scientific methods to solve business problems.</li><li>
Industry demonstrated knowledge and skills in at least one the following areas:<ul><li>
Machine Learning or Deep Learning, particularly applied for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers, Nixtla, Darts,...)</li><li>
Machine Learning Engineering (e.g. service design, batch processing, GPU computing, git, docker, CI/CD, software testing)</li><li>
Operations Research and Optimization, (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations, &hellip;)</li><li>
Agentic AI &amp; MCP evaluation frameworks</li></ul></li><li>
Proficiency in SQL and experience working with large-scale datasets.</li><li>
Strong communication skills with the ability to explain complex scientific concepts to product managers and business stakeholders. A collaborative, product-oriented mindset and a desire to see your work create real-world impact.</li><li>
An entrepreneurial mindset, you value a diverse and fast-paced business environment, and hence balance your passion for research with pragmatism to drive actions and create impact for our customers.</li><li>
You have a passion for learning and growing by doing. We are here to help you. One of the preferred values of the team is: &ldquo;High Challenge, High Support&rdquo;!</li><li>
Excellent communication skills! We cherish our open and direct feedback culture in the team!</li></ul>
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
OUR OFFER
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.<ul><li>
Employee shares program</li><li>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</li><li>
2 paid volunteering days per year</li><li>
Work from abroad for up to 30 working days a year</li><li>
27 days of vacation a year to start for full-time employees</li><li>
Family services, including counseling and support</li><li>
Health and wellbeing options (including Wellhub, formerly Gympass)</li><li>
Mental health support and coaching available</li><li>
Drive your development through our training platform and biannual peer-to-peer review</li></ul></div><div>
Recruiter
Casimir Udegbunam
casimir.udegbunam@zalando.de</div><div>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</div></div>
 <div></div><div><div><div><h2 class="jobSectionHeader">&Uuml;ber Zalando</h2>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</div></div></div>

Applied Scientist (all genders) - B2B Data Science and Algorithms

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional AI &amp; ML Professionals ready to solve real-world problems and shape the future of intelligent systems.
Location: Remote (Europe - CET) 
Experience: 5+ Years
Project Duration: ~ 2 months (B2B contract) 
Availability: Immediate Joiner
Role Overview
We are seeking a visionary and highly skilled Senior Data Scientist to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.<ul><li>
Architect Document Intelligence Solutions: Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li>
Develop LLM &amp; Retrieval Systems: Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li>
End-to-End ML Pipelines: Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li>
Bridge Chemistry &amp; AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li>
Cloud Architecture &amp; Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li>
Cross-Functional Collaboration: Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul> 
Requirements 
<ul><li>
Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li>
Domain Expertise: A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li>
Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).</li><li>
Generative AI &amp; Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li>
ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li>
Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li>
Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul> 

Benefits 
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.<ul><li>
Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
Flexible &amp; Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

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