data scientist

senior data engineer

ai & analytics engineer

analytics engineer

applied scientist (all genders) - b2b data science and algorithms Jobs in Berlin

data analytics specialist

adsquare GmbH

<div><div>Berlin</div><div>
Full-time</div><div>
Permanent employee</div><div>
60,000 - 75,000 &euro; per year</div></div>
<br><div><div><h2 class="jobSectionHeader"><b>Intro</b></h2><div><div>
At Adsquare, our mission is driven by our core focus: <b>Passion</b> &ndash; Solving complex challenges with great people, tech, and data. <b>Niche</b> &ndash; Location Intelligence for Programmatic Advertisers. Our core values are integral to everything we do:</div><ul><li><div><b><br>
Drive:</b> We turn ambition into action.</div></li><li><div><b>
Resilience:</b> We adapt, persevere, and grow stronger.</div></li><li><div><b>
No BS:</b> We value honesty, transparency, and clear communication.</div></li><li><div><b>
Humble:</b> We choose modesty over vanity and let results speak for themselves.</div></li><li><p><b>
Moral Compass:</b> We do the right thing with fairness, integrity, and respect.</p></li></ul><div>
We seek candidates who not only bring excellent technical expertise but also embody these values in every aspect of their work.</div></div></div><div><h2 class="jobSectionHeader"><b>
Your Mission</b></h2><div><div><b>
Key Responsibilities</b></div><ul><li><div><b><br>
Pipeline Engineering:</b> Build, deploy, and maintain robust transformation pipelines for high-volume data. You will participate in the full lifecycle: ingestion, transformation, <b>testing (unit/integration)</b>, deployment, and monitoring.</div></li><li><div><b>
Optimization &amp; Maintenance:</b> Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs).</div></li><li><div><b>
Software Engineering Best Practices:</b> Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing.</div></li><li><div><b>
Data Quality &amp; Observability:</b> Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders.</div></li><li><p><b>
Collaboration &amp; Growth:</b> Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><div><div>
We are looking for a <b>Data Analytics Engineer</b> who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms.</div><div><b>
This is not a Data Analyst role.</b> While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable.</div><div>
We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data.</div><div><b><br>
Must-Have Skills</b></div><ul><li><div><b><br>
2+ years of experience specifically in Analytics Engineering or Data Engineering</b>.</div></li><li><div><b>
Solid Python proficiency:</b> You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging.</div></li><li><div><b>
Strong skills in SQL &amp; dbt:</b> You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans.</div></li><li><div><b>
Software Engineering Fundamentals:</b> Hands-on experience with <b>Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI)</b>, and <b>Containerization (Docker)</b>.</div></li><li><div><b>
AWS Cloud Native Experience:</b> Experience building and maintaining data workflows using serverless architectures such <b>AWS Lambda, StepFunctions, Glue, and Athena</b>.</div></li><li><div><b>
Testing Mindset:</b> Experience implementing <b>Unit Tests and Integration Tests</b> for data pipelines rather than relying solely on manual checks.</div></li><li><p><b>
Data Warehouse Ops:</b> Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b><br>
Nice to Have
</b></h2><div><ul><li><div>Experience with <b>Infrastructure as Code (Terraform)</b> to manage cloud resources.</div></li><li><div>
Experience with orchestration tools like <b>Airflow, Dagster, or Prefect</b>.</div></li><li><div>
Knowledge of big data processing frameworks (Spark/PySpark).</div></li><li><div>
Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features.</div></li><li><div>
Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) &ndash; <i>Note: This is helpful for debugging and monitoring, but not the core function of the role</i>.</div></li><li><p>
B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Why us?
</b></h2><div><div>On top of a competitive package&hellip;</div><ul><li><div><br>
We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year.</div></li><li><div>
To encourage education and professional growth, we offer an individual yearly budget of 1.200&euro;.</div></li><li><div>
You are entitled to 30 vacation days per year.</div></li><li><div>
We offer Urban Sports Club membership, company pension scheme.</div></li><li><div>
Regular team events and company events organised by our People team (Trust us, they know how to throw a party!).</div></li><li><p>
We equip you with the latest hardware and provide you with all the tools you need to thrive.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Salary Range (Annual On-Target Earnings)</b></h2><div>
60,000 - 75,000 euros</div></div><div><h2 class="jobSectionHeader"><b>
Recruiting Process</b></h2><div><div>
For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the &quot;Other Documents&quot; section of the application form.<br>
Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage.</div><ul><li><div><b><br>
Step 1:</b> Value-based interview (30 mins).</div></li><li><div><b>
Step 2:</b> Deep-dive technical interview (1.5 hours) with the Data team.</div></li><li><div><b>
Step 3:</b> Practical data-crunching challenge.</div></li><li><p><b>
Step 4:</b> Team Meet &amp; Greet &mdash; the final step to ensure we're a great fit for each other.</p></li></ul></div></div><div><h2 class="jobSectionHeader"><b>
Work model</b></h2><div>
Hybrid</div></div><div><h2 class="jobSectionHeader"><b>
Desired start date</b></h2><div>
As soon as possible</div></div></div>
<br><div><h2 class="jobSectionHeader"><b>About us</b></h2><div><p>
Adsquare is the global audience &amp; location intelligence company making marketing a whole lot smarter.<br>
<br>
With eight offices around the world we are a truly international company but one united team working towards our vision: empowering companies to accelerate business growth by staying at the forefront of data-driven marketing.</p>
We are pioneers in advertising and data. We were born mobile, before it was a necessity, and have pioneered data-driven advertising in display and now DOOH. We have the smartest people, working with the best tech, so we can drive the pace of change.<br>
<br>
We are visionaries. We see a better way for marketers and are doing everything we can to make that a reality. We believe in innovation and the power of technology. We believe in constantly improving what we&rsquo;re doing because the work is never done.<br>
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We believe in what we do and rise to meet our own high standards. If there&rsquo;s a problem, we fix it, humbly and without fuss or delay. Although our technology is best-of-breed, we are unassuming and modest in our approach.<br>
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We are passionately candid, both with each other and with our clients. We take the time to explain our approach to their problem, confident there is nothing to hide.<br>
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We are consistent and true to our word. We don&rsquo;t take shortcuts but focus on being our clients&rsquo; most reliable partner. We make promises - and we keep them. As a result, clients enjoy spending time with us, because we are good people.</div></div>

Data Analytics Engineer (m/f/d)

atolls

<p></p><div><div><h3 class="jobSectionHeader"><b>Atolls is the world's largest community-driven shopping platform, active in 20+ markets.</b></h3>
<p>
We help millions make smarter spending decisions across discovery, evaluation, and (re-)purchase by connecting people with the right brands and retailers.</p>
<p>
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.</p></div><div>
<p></p><div>
<h3 class="jobSectionHeader"><b>About This Role:</b></h3>
<p>
We are looking for a <b>Data Scientist</b> to join our <b>Community Data Team</b>. 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.</p>
<p>
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.</p>
<p></p>
<h3 class="jobSectionHeader"><b>Our Benefits:</b></h3>
<p>
At Atolls, we believe in nurturing both your professional and personal growth. Here's what you can expect:</p>
<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><i>These are global benefits that apply to all employees, with additional local perks based on your location.</i></li></ul>
<p></p>
<h3 class="jobSectionHeader"><b>Responsibilities:</b></h3>
<p>
In this role, you will:</p>
<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> <p></p><h3 class="jobSectionHeader"><b>Your Profile:</b></h3>
<p>
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.</p>
<p>
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.</p>
<p>
What we care about most:</p>
<ul>
<li><b>Problem translation</b>: 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><b>Intellectual honesty</b>: 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><b>Drive and curiosity</b>: 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>
<p>What you need to bring:</p>
<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>
<p>Also valued:</p>
<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><p></p><h3 class="jobSectionHeader"><b>Our hiring process</b><b>:</b></h3>
<div><ul><li><b>TA Call</b>: Meet one of our Talent Experts and get to know Atolls better.</li></ul>
<ul><li><b>Technical Round</b>: Focus on the technical aspects of the role <i>(Through a Live Case)</i>, and meet your potential manager.</li></ul>
<ul><li><b>Final Round</b>: Meet other Atollians ️<br>
<i>It varies from 1 to 3 interviews</i></li></ul>
</div>
<ul><li><i>Some processes might slightly change according to needs</i></li></ul>
<p></p>
<h4 class="jobSectionHeader"><b>Ready to apply?</b></h4>
<div>
Be part of a destination where your work helps millions of people make better decisions every day.<b> </b>One focused application is all we need. If you truly fit more than one role, you're welcome to apply to <b>up to three. </b>This helps us match you with the right opportunity faster.<br>
<br>
<b>We review every application with equal care and will reach out if your profile aligns. Apply now with your CV in English.</b><br>
<ul><li><i>Portfolios, writing samples, or certifications may be requested based on the role.</i></li></ul>
#LI-PM1 #LI-Hybrid</div>
</div>
</div><p></p><div><p>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.</p></div></div><div></div>

Data Scientist (m/f/x)

Mira

<div>
 <strong>
  About Mira
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
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 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Position
  <br/>
  <br/>
 </strong>
 Mira is building the future of women's hormonal health through quantitative hormone tracking technology. We're seeking an exceptional
 <strong>
  Data Scientist
 </strong>
 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.
 <br/>
 <br/>
 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.
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 <br/>
 This role reports to the Head of R&amp;D and will eventually grow into leading a data science team as we scale.
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 <strong>
  Requirements
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  <br/>
 </strong>
 <strong>
  Must-have:
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-have
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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)

DataSmart Point GmbH

<div>
 Werde Teil der digitalen Zukunft mit der DataSmart Point Academy
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 <br/>
 Die DataSmart Point Academy (DSP Academy) ist ein AZAV-zertifizierter Bildungstr&auml;ger, spezialisiert auf praxisnahe IT- und Data-Weiterbildungen mit klarer Zukunftsperspektive.
 <br/>
 <br/>
 Unsere Programme richten sich an motivierte Quereinsteiger:innen, die den Einstieg in datengetriebene Berufe suchen sowie an Fachkr&auml;fte mit IT-Erfahrung, die ihr Wissen vertiefen m&ouml;chten,
 <br/>
 <br/>
 Unser erfahrenes Dozent:innen-Team aus Professor:innen, Fachexpert:innen und Praktiker:innen begleitet jede Teilnehmerin und jeden Teilnehmer pers&ouml;nlich und praxisorientiert.
 <br/>
 <br/>
 Wir haben bereits viele erfolgreiche Karrieren unterst&uuml;tzt und freuen uns, dich auf deinem Weg zum Data Analyst zu begleiten.
 <br/>
 <br/>
 Inhalte der Weiterbildung
 <br/>
 <br/>
 In unserer zw&ouml;lfmonatigen Weiterbildung lernst du praxisnah und anwendungsorientiert in folgenden Themenfeldern:
 <br/>
 <br/>
 <ul>
  <li>
   Jetzt bewerben klicken und weiterlesen auf hokify - deine mobile Job-Plattform. Bewirb dich in 3 Minuten f&uuml;r diesen und tausende weitere Jobs auf hokify!
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 Jetzt auch kostenlose hokify Job App f&uuml;r Jobsuche und Bewerbung am Smartphone downloaden!
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Data Analytics, Data Science & AI Weiterbildung mit IHK-Abschluss | 100 % Remote

Charité - Universitätsmedizin Berlin

<div>
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 https://karriere.charite.de/stellenangebote/detail/7354
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 Arbeitszeit
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 <strong>
  Teilzeit
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 </strong>
 Eintrittsdatum
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 <strong>
  15.06.2026
  <br/>
  <br/>
 </strong>
 Dauer der Anstellung
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 <strong>
  Befristet
  <br/>
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 </strong>
 Bewerbungsfrist
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 <strong>
  06.07.2026
  <br/>
  <br/>
 </strong>
 Einsatzort Charit&eacute;
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  Campus Charit&eacute; Mitte
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  <br/>
 </strong>
 Kennziffer
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 <strong>
  7354
  <br/>
  <br/>
 </strong>
 Entgeltgruppe
 <br/>
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 <strong>
  E13
  <br/>
  <br/>
 </strong>
 <strong>
  Arbeiten an der Charit&eacute;
  <br/>
  <br/>
 </strong>
 Der Giftnotruf der Charit&eacute; ist das zust&auml;ndige Giftinformationszentrum f&uuml;r Berlin und Brandenburg und unterst&uuml;tzt als telemedizinisches Fachzentrum bei Vergiftungen. Wir beraten Bev&ouml;lkerung und medizinisches Fachpersonal nach Vergiftungen und sind damit ein wichtiger Akteur in der Toxikovigilanz und Risikosurveillance. Professionalle Datenauswertung unterst&uuml;tzt die fundierte Notfallberatung und identifiziert Pr&auml;ventionsgebiete und Risikogruppen - und legt die Basis f&uuml;r den Gesamtauftrag im Gesundheitsschutz
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 <br/>
 <strong>
  Die Stelle im &Uuml;berblick
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Zu Ihren Aufgaben z&auml;hlen die retrospektive Auswertung der Beratungen im Giftnotruf der Charit&eacute; und die strukturierte Validierung der Daten
  </li>
  <li>
   Sie sind f&uuml;r die belastbare Datenbasis verantwortlich, die zum Aufbau eines Berichtswesens an Beh&ouml;rden, Organisationen und weitere &ouml;ffentliche Einrichtungen dient.
  </li>
  <li>
   Bei der Erstellung und Pr&uuml;fung von Berichten unterst&uuml;tzen sie unmittelbar
  </li>
  <li>
   Sie wirken mit bei der Datenanalyse zu wissenschaftlichen Publikationen
  </li>
  <li>
   Sie begleiten durch die kontinuierliche Datenauswertung die interne Qualit&auml;tskontrolle und tragen damit zu einer Verbesserung der Beratung und Dokumentation bei
  </li>
  <li>
   Die Stelle ist projektbegleitend und daher auf 2 Jahre befristet
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Danach suchen wir
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Sie verf&uuml;gen &uuml;ber ein abgeschlossenes Masterstudium im Bereich der Toxikologie.
  </li>
  <li>
   Berufserfahrung in einem Giftinformationszentrum konnten Sie bereits sammeln
  </li>
  <li>
   Fundierte Kenntnisse in Toxikologie und Dateninterpretation z&auml;hlen zu Ihren St&auml;rken
  </li>
  <li>
   Sie sind sicher im Umgang mit MS Excel, SAP Hana Datenbankabfragen, KNIME und statistischer Auswertung mit R, SPSS oder vergleichbarer Software
  </li>
  <li>
   Eine selbstst&auml;ndige, digital affine Arbeitsweise pr&auml;gt Ihr t&auml;gliches Handeln
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Das bringt die Charit&eacute; mit
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Eine zukunftsorientierte, abwechslungsreiche und anspruchsvolle T&auml;tigkeit mit hoher Eigenverantwortung und pers&ouml;nlichem Handlungsspielraum
  </li>
  <li>
   Eine zus&auml;tzliche Absicherung im Alter durch unsere betriebliche Altersvorsorge
  </li>
  <li>
   Seit 2007 zertifiziert als familiengerechte Hochschule und familiengerechtes Unternehmen - Weitere Informationen finden Sie hier
  </li>
  <li>
   Ber&uuml;cksichtigung von Dienstplanw&uuml;nschen
  </li>
  <li>
   Nach Einarbeiten ist in Abstimmung Homeoffice m&ouml;glich
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Informationen zur Stelle
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Entgeltgruppe E13 TV&ouml;D VKA-K. Hier finden Sie alle Informationen zum Gehalt und Tarifvertrag
  </li>
  <li>
   Die Arbeitszeit ist in Teilzeit mit 28,86 Stunden (75%)
  </li>
  <li>
   Die Position ist bis zum 28.06.2028 befristet, da sie an die Projektlaufzeit gebunden ist
  </li>
  <li>
   Bei uns sind 30 Tage Urlaub Standard
  </li>
  <li>
   Die Bewerbungsfrist endet am: 06.07.2026
  </li>
  <li>
   Kennziffer: 7354
   <br/>
   <br/>
  </li>
 </ul>
 Bewerbung
 <br/>
 <br/>
 An der Charit&eacute; sind alle willkommen, unabh&auml;ngig von Alter, Religion, Geschlecht, geschlechtlicher Identit&auml;t, sexueller Orientierung, Nationalit&auml;t, Behinderung, ethnischer oder sozialer Herkunft. Hier z&auml;hlt jeder Mensch! Wir setzen uns f&uuml;r Chancengleichheit und Inklusion ein.
 <br/>
 <br/>
 Aus Datenschutzgr&uuml;nden nehmen wir Bewerbungen ausschlie&szlig;lich &uuml;ber unser Bewerbungsportal entgegen. Der unten angegebene Kontakt steht ausschlie&szlig;lich f&uuml;r R&uuml;ckfragen zur Verf&uuml;gung.
 <br/>
 <br/>
 Jetzt bewerben
 <br/>
 <br/>
 <strong>
  Bei Fragen Wenden Sie Sich Bitte An
  <br/>
  <br/>
 </strong>
 Frau Martina Hahn Nimmergut
 <br/>
 <br/>
 Teamleitung Firmenservice
 <br/>
 <br/>
 martina.hahn@charite.de
 <br/>
 <br/>
 030 450 569702
 <br/>
 <br/>
 Vorteile und Leistungen
 <br/>
 <br/>
 Faire L&ouml;hne und Arbeitskonditionen
 <br/>
 <br/>
 An der Charit&eacute; erwarten dich Tarifvertr&auml;ge mit fairem Gehalt, vielf&auml;ltigen Zusatzleistungen und 30 Tagen Urlaub. Die aktuellen Tarifvertr&auml;ge und Entgelttabellen findest du hier.
 <br/>
 <br/>
 Familie und Beruf sind an der Charit&eacute; vereinbar
 <br/>
 <br/>
 Unsere Anlaufstellen bieten eine pers&ouml;nliche Beratung, um die Vereinbarkeit von Beruf und Familie sicherzustellen. Auch im Fall von pflegebed&uuml;rftigen Angeh&ouml;rigen. Zudem organisieren wir Kinderbetreuung in Ferienzeiten und kooperieren mit Kitas.
 <br/>
 <br/>
 Leben und Arbeiten in Berlin
 <br/>
 <br/>
 Wir haben vier zentrale Einsatzorte in Berlin. Gute Verkehrsanbindungen sowie vielf&auml;ltigste Kultur- und Freizeitangebote machen das Leben hier besonders attraktiv.
 <br/>
 <br/>
 Weitere Vorteile
 <br/>
 <br/>
 H&auml;ufig gestellte Fragen
 <br/>
 <br/>
 Besteht die M&ouml;glichkeit, im Homeoffice zu arbeiten?
 <br/>
 <br/>
 Grunds&auml;tzlich besteht die M&ouml;glichkeit, im Homeoffice zu arbeiten. Diese ist jedoch vom jeweiligen Bereich und Aufgabenfeld abh&auml;ngig. Sprich hierzu gerne mit der Ansprechperson des Bereichs, f&uuml;r den du dich interessierst.
 <br/>
 <br/>
 Wie werde ich verg&uuml;tet?
 <br/>
 <br/>
 Bei uns wirst du fair und transparent nach Tarifvertrag verg&uuml;tet &ndash; 30 Tage Urlaub inklusive. Die Tarifvertr&auml;ge und Entgelttabellen findest du hier.
 <br/>
 <br/>
 Gibt es auch die M&ouml;glichkeit, in Teilzeit zu arbeiten?
 <br/>
 <br/>
 Generell bieten wir immer auch die M&ouml;glichkeit, in Teilzeit zu arbeiten. Ob und in welcher Form besprichst du am besten direkt mit deiner Ansprechpartnerin oder Ansprechpartner.
 <br/>
 <br/>
 Weitere Fragen und Antworten
 <br/>
 <br/>
 Weitere Informationen
 <br/>
 <br/>
 Datenschutzhinweise
 <br/>
 <br/>
 Die Charit&eacute; weist darauf hin, dass im Rahmen und zu Zwecken des Bewerbungsverfahrens an verschiedenen Stellen in der Charit&eacute; (z.B. Fachbereich, Personalvertretung, Personalabteilung) personenbezogene Daten gespeichert und verarbeitet werden. Weiterhin k&ouml;nnen die Daten innerhalb des Konzerns sowie an Stellen au&szlig;erhalb (z.B. Beh&ouml;rden) zur Wahrung berechtigter Interessen &uuml;bermittelt bzw. verarbeitet werden. Mit Ihrer Bewerbung stimmen Sie unseren Datenschutz- und Nutzungsbestimmungen f&uuml;r Bewerbungsverfahren, die Sie hier finden, zu.
 <br/>
 <br/>
 Zusatzinformationen
 <br/>
 <br/>
 Die Charit&eacute; &ndash; Universit&auml;tsmedizin Berlin trifft ihre Personalentscheidungen nach Eignung, Bef&auml;higung und fachlicher Leistung. Die Charit&eacute; strebt eine Erh&ouml;hung des Anteils von Frauen in F&uuml;hrungspositionen an und fordert Frauen daher nachdr&uuml;cklich auf, sich zu bewerben. Bei gleichwertiger Qualifikation werden Frauen im Rahmen der rechtlichen M&ouml;glichkeiten vorrangig ber&uuml;cksichtigt. Bewerbungen von Menschen mit Migrationshintergrund, die die Einstellungsvoraussetzungen erf&uuml;llen, sind ausdr&uuml;cklich erw&uuml;nscht. Schwerbehinderte Bewerber:innen werden bei gleicher Qualifikation bevorzugt. Bei der Einstellung wird ein polizeiliches F&uuml;hrungszeugnis, teilweise ein erweitertes F&uuml;hrungszeugnis verlangt. Die Bewerbungsunterlagen k&ouml;nnen leider nur dann zur&uuml;ckgeschickt werden, wenn ein ausreichend frankierter R&uuml;ckumschlag beigef&uuml;gt ist. Eventuell anfallende Reisekosten k&ouml;nnen nicht erstattet werden.
</div>


Data Scientist im Giftnotruf (d/w/m)

<div></div><div><div><div><div><div><div><div><p>Arbeitszeit
<br>
<b>Teilzeit</b></p>
<p>Eintrittsdatum
<br>
<b>15.06.2026
</b></p><p>Dauer der Anstellung
<br>
<b>Befristet
</b></p><p>Bewerbungsfrist
<br>
<b>06.07.2026</b></p>
</div><div><p>Einsatzort Charit&eacute;
<br>
<b>Campus Charit&eacute; Mitte</b></p>
<p>Kennziffer
<br>
<b>7354</b></p>
<p>Entgeltgruppe
<br>
<b>E13</b></p><br>
</div></div></div></div></div></div><div></div><div><div><div><div><p><b>Arbeiten an der Charit&eacute;
</b></p><p></p><p>Der Giftnotruf der Charit&eacute; ist das zust&auml;ndige Giftinformationszentrum f&uuml;r Berlin und Brandenburg und unterst&uuml;tzt als telemedizinisches Fachzentrum bei Vergiftungen. Wir beraten Bev&ouml;lkerung und medizinisches Fachpersonal nach Vergiftungen und sind damit ein wichtiger Akteur in der Toxikovigilanz und Risikosurveillance. Professionalle Datenauswertung unterst&uuml;tzt die fundierte Notfallberatung und identifiziert Pr&auml;ventionsgebiete und Risikogruppen - und legt die Basis f&uuml;r den Gesamtauftrag im Gesundheitsschutz</p>
</div><p></p><div><p><b>Die Stelle im &Uuml;berblick
</b></p><ul><li>Zu Ihren Aufgaben z&auml;hlen die retrospektive Auswertung der Beratungen im Giftnotruf der Charit&eacute; und die strukturierte Validierung der Daten</li>
<li>Sie sind f&uuml;r die belastbare Datenbasis verantwortlich, die zum Aufbau eines Berichtswesens an Beh&ouml;rden, Organisationen und weitere &ouml;ffentliche Einrichtungen dient.</li>
<li>Bei der Erstellung und Pr&uuml;fung von Berichten unterst&uuml;tzen sie unmittelbar</li>
<li>Sie wirken mit bei der Datenanalyse zu wissenschaftlichen Publikationen</li>
<li>Sie begleiten durch die kontinuierliche Datenauswertung die interne Qualit&auml;tskontrolle und tragen damit zu einer Verbesserung der Beratung und Dokumentation bei</li>
<li>Die Stelle ist projektbegleitend und daher auf 2 Jahre befristet</li>
</ul></div><div><p><b>Danach suchen wir
</b></p><ul><li>Sie verf&uuml;gen &uuml;ber ein abgeschlossenes Masterstudium im Bereich der Toxikologie.</li>
<li>Berufserfahrung in einem Giftinformationszentrum konnten Sie bereits sammeln</li>
<li>Fundierte Kenntnisse in Toxikologie und Dateninterpretation z&auml;hlen zu Ihren St&auml;rken</li>
<li>Sie sind sicher im Umgang mit MS Excel, SAP Hana Datenbankabfragen, KNIME und statistischer Auswertung mit R, SPSS oder vergleichbarer Software</li>
<li>Eine selbstst&auml;ndige, digital affine Arbeitsweise pr&auml;gt Ihr t&auml;gliches Handeln</li>
</ul></div><div><p><b>Das bringt die Charit&eacute; mit
</b></p><ul><li>Eine zukunftsorientierte, abwechslungsreiche und anspruchsvolle T&auml;tigkeit mit hoher Eigenverantwortung und pers&ouml;nlichem Handlungsspielraum</li>
<li>Eine zus&auml;tzliche Absicherung im Alter durch unsere betriebliche Altersvorsorge</li>
<li>Seit 2007 zertifiziert als familiengerechte Hochschule und familiengerechtes Unternehmen - Weitere Informationen finden Sie hier</li>
<li>Ber&uuml;cksichtigung von Dienstplanw&uuml;nschen</li>
<li>Nach Einarbeiten ist in Abstimmung Homeoffice m&ouml;glich</li>
</ul></div><div><p><b>Informationen zur Stelle</b></p>
<ul><li>Entgeltgruppe E13 TV&ouml;D VKA-K. Hier finden Sie alle Informationen zum Gehalt und Tarifvertrag</li>
<li>Die Arbeitszeit ist in Teilzeit mit 28,86 Stunden (75%)</li>
<li>Die Position ist bis zum 28.06.2028 befristet, da sie an die Projektlaufzeit gebunden ist</li>
<li>Bei uns sind 30 Tage Urlaub Standard</li>
<li>Die Bewerbungsfrist endet am: 06.07.2026</li>
<li>Kennziffer: 7354</li>
</ul></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Bewerbung</b></h2><br>
</div><div></div><div><p>An der Charit&eacute; sind alle willkommen, unabh&auml;ngig von Alter, Religion, Geschlecht, geschlechtlicher Identit&auml;t, sexueller Orientierung, Nationalit&auml;t, Behinderung, ethnischer oder sozialer Herkunft. Hier z&auml;hlt jeder Mensch! Wir setzen uns f&uuml;r Chancengleichheit und Inklusion ein.</p>
<p>Aus Datenschutzgr&uuml;nden nehmen wir Bewerbungen ausschlie&szlig;lich &uuml;ber unser Bewerbungsportal entgegen. Der unten angegebene Kontakt steht ausschlie&szlig;lich f&uuml;r R&uuml;ckfragen zur Verf&uuml;gung.</p><br>
<div></div>
<div></div><p><b>Bei Fragen wenden Sie sich bitte an:
</b></p><p>Frau Martina Hahn Nimmergut</p>
<p>Teamleitung Firmenservice</p>
<p>martina.hahn@charite.de</p>
<p>030 450 569702</p>
</div></div></div><div></div><div><div><div><h2 class="jobSectionHeader"><b>Vorteile und Leistungen</b></h2>
</div><div></div><div><div><h3 class="jobSectionHeader"><b>Faire L&ouml;hne und Arbeitskonditionen</b></h3>
<p>An der Charit&eacute; erwarten dich Tarifvertr&auml;ge mit fairem Gehalt, vielf&auml;ltigen Zusatzleistungen und 30 Tagen Urlaub.</p>
</div></div><div></div><div><div><h3 class="jobSectionHeader"><b>Familie und Beruf sind an der Charit&eacute; vereinbar</b></h3>
<p>Unsere Anlaufstellen bieten eine pers&ouml;nliche Beratung, um die Vereinbarkeit von Beruf und Familie sicherzustellen. Auch im Fall von pflegebed&uuml;rftigen Angeh&ouml;rigen. Zudem organisieren wir Kinderbetreuung in Ferienzeiten und kooperieren mit Kitas.</p>
</div></div><div></div><div><div><h3 class="jobSectionHeader"><b>Leben und Arbeiten in Berlin</b></h3>
<p>Wir haben vier zentrale Einsatzorte in Berlin. Gute Verkehrsanbindungen sowie vielf&auml;ltigste Kultur- und Freizeitangebote machen das Leben hier besonders attraktiv.</p></div></div></div></div></div><p></p>

LimeFlight

<div><p>Join our fully remote, mission-driven team dedicated to pioneering <b>sustainable inflight service management</b>. Work on innovative technology solutions with global impact, collaborate within a diverse, international environment, and continuously enhance your skills through ongoing learning opportunities.</p><p></p><p>
Headquartered in Zurich, Switzerland with team members across 11 countries, we offer a dynamic and engaging company culture that celebrates creativity, collaboration, and inclusion.
</p><h4 class="jobSectionHeader"><b>About the role</b></h4><p>
We are hiring a <b>Senior Data &amp; Analytics Engineer</b> to take <b>end-to-end ownership of our data platform and BI layer</b>.</p><p></p><p>
We are on a mission to contribute to a <b>zero-waste future</b> by drastically reducing food waste, fuel consumption, costs, and most importantly, <b>CO₂ emissions</b> in the airline industry. Every role in our company is a direct contributor to this vision - and as a <b>Senior Data &amp; Analytics Engineer</b> you will be at the forefront of turning data into meaningful insights, empowering our customers to effectively use them and drive real impact.</p><p></p><p>
You will evolve a vendor-built BI solution into a <b>modern, product-grade data platform</b> and ensure that data is transformed into <b>scalable, trusted, and actionable insights</b> for both our customers and internal teams. You&rsquo;re not just building dashboards, you&rsquo;re enabling better decisions and measurable impact.</p><p></p><p>
This role combines:</p><ul><li><b>
Data Engineering</b> (pipelines, processing, customer facing exports, platform)</li><li><b>
Analytics Engineering</b> (modeling, KPIs, semantic layer)</li><li><b>
Data Product Ownership</b> (customer impact, insight generation)</li></ul><h4 class="jobSectionHeader"><b>
What You&rsquo;ll Own</b></h4><p><b>
Platform, Architecture &amp; Pipelines</b></p><p>
Own the end-to-end data platform (<b>Databricks </b>and <b>Microsoft Fabric</b>)</p><ul><li>
Design and operate scalable pipelines and lakehouse architecture</li><li>
Build scalable ETL/ELT workflows and manage batch/near real-time processing</li><li>
Ensure data quality, reliability, observability, and performance</li><li>
Define standards, data contracts, and architecture principles (clean, modular, scalable data platform)</li><li>
Optimize cost (e.g. Databricks jobs) and workload distribution across platforms</li></ul><p><b>
Data Modeling &amp; Semantic Layer</b></p><ul><li>
Own <b>Power BI </b>semantic models and KPIs</li><li>
Build clean, scalable dimensional models (star schema)</li><li>
Ensure performance and consistency of DAX, aggregations, and dataset refresh</li></ul><p><b>
Customer-Facing Analytics</b></p><ul><li>
Build and maintain customer-facing dashboards and embedded analytics</li><li>
Ensure consistent and trusted metrics across all outputs</li><li>
Enable self-service analytics with governance</li><li>
Maintain and monitor customer facing exports</li></ul><p><b>
Data as Product</b></p><ul><li>
Translate business and customer needs into scalable data solutions</li><li>
Define KPIs and reporting standards with Product</li><li>
Proactively build insights and identify opportunities to create additional customer value</li><li>
Drive measurable customer and business impact</li></ul><p><b>
Platform Quality, Operations, Security &amp; Governance</b></p><ul><li>
Build necessary validation scripts, unit tests, data quality checks</li><li>
Implement CI/CD, testing, and versioning for pipelines and BI</li><li>
Support multi-tenant architecture, security, and governance</li><li>
Implement monitoring and alerting (pipelines, refreshes)</li></ul><p><b>
Migration &amp; Insourcing (Initial Focus)</b></p><ul><li>
Take ownership of a vendor-built BI solution</li><li>
Reverse-engineer pipelines, logic, and reports</li><li>
Reduce technical debt and rebuild toward a clean architecture</li></ul><h4 class="jobSectionHeader"><b>
What We&rsquo;re Looking For</b></h4><p><b>
Experience</b></p><ul><li>
5+ years in data engineering / analytics engineering for customer-facing BI products</li><li>
Experience in SaaS or product-driven environments</li><li>
Proven track record building scalable data platforms and customer-facing analytics</li></ul><p><b>
Technical &amp; Platform Skills</b></p><ul><li>
Strong experience with:<ul><li>
Databricks (Spark / PySpark, Delta Lake)</li><li>
Microsoft Fabric or Azure data stack</li><li>
Power BI (data modeling, DAX, performance)</li></ul></li><li>
Advanced SQL and dimensional modeling (Kimball) expertise</li><li>
Lakehouse architecture &amp; ETL/ELT design</li><li>
Multi-tenant data models &amp; embedded analytics</li></ul><p><b>
Engineering Practices</b></p><ul><li>
CI/CD for data pipelines and BI assets</li><li>
Write reusable, modular, maintainable and testable code.</li><li>
Monitoring and data quality practices</li><li>
Version control (e.g., Git)</li></ul><p><b>
Nice-to-have</b></p><ul><li>
Azure infrastructure knowledge (IAM, networking)</li><li>
Data quality/testing frameworks (e.g., Great Expectations)</li></ul><p><b>
Mindset</b></p><ul><li>
Strong ownership and autonomy: You take full ownership of outcomes, not just tasks</li><li>
Impact-driven: You focus on real-world results and have strong intuition for identifying patterns, anomalies, and optimization opportunities</li><li>
Product thinker: You connect data to user value and turn raw data into clear, actionable insights</li><li>
Proactive: You proactively identify opportunities, validate ideas, and build reports, dashboards, and analyses without waiting for requirements.</li></ul><ul><li>
Domain expert: You understand business contexts quickly and translate problems into effective data solutions.</li><li>
Pragmatic: You prioritize simplicity and avoid overengineering, focusing on what delivers value.</li><li>
Clear communicator: You communicate effectively across technical and business stakeholders, making complex topics easy to understand.</li></ul><h4 class="jobSectionHeader"><b>
Language</b></h4><p>
Min. English C1</p><h4 class="jobSectionHeader"><b>
Expected travel needs</b></h4><p>
2 annual one-week team events</p><h4 class="jobSectionHeader"><b>
Our Tech Stack</b></h4><ul><li>
C# (.NET 8&ndash;10), ASP.NET Core, Entity Framework Core</li><li>
Microsoft SQL Server, Azure Blob Storage</li><li>
Azure App Services &amp; Functions, Docker</li><li>
Azure Service Bus, Terraform</li><li>
GitHub Actions, SonarQube, extensive unit &amp; integration tests</li><li>
Angular Latest Version</li><li>
Databricks and Azure Fabric</li></ul><h4 class="jobSectionHeader"><b>
Hiring Process</b></h4><ul><li>
Recruiter Screen (45 mins)</li><li>
Interview with the Hiring Manager (1 hour)</li><li>
Technical interview (1 hour)</li><li>
Discussion with founder(s) and peer(s) (1 hour)</li></ul><p><b><br>
LimeFlight is proud to be an equal opportunity employer.</b></p><p>
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work.</p><p></p><p>
Join us and be part of a team committed to shaping a zero-waste future for aviation, where your ideas and passion truly matter.</p><p></p><p>
Let&rsquo;s talk!</p></div>

Senior Data & Analytics Engineer (Europe, 100% remote)

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Data Scientist im Giftnotruf (d/w/m)

Data Scientist im Giftnotruf (d/w/m)

Senior Data & Analytics Engineer (Europe, 100% remote)