7 beste Stellen als data engineer in achern, bw – aktuell auf Personalsuche

Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)
happyhotel —Offenburg
- Vollzeit
- Hybrides Arbeiten
- Master
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- Machine Learning
Direkt bewerben
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happyhotel —Offenburg
- Vollzeit
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- AWS
- APIs
- Künstliche Intelligenz
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Senior AI Product Engineer
TechBiz Global GmbH —Baden-Baden
- Vollzeit
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- Bachelor
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(Senior) Data Analyst (m/w/d)
happyhotel —Offenburg
- Vollzeit
- Hybrides Arbeiten
- SQL
- Künstliche Intelligenz
- Python
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
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Staff Fullstack Engineer – Agentic Product (m/w/d)
happyhotel —Offenburg
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Staff Machine Learning Engineer - Pricing & Revenue (m/w/d)
happyhotel —Offenburg
- Vollzeit
- Homeoffice
- Englisch
- SQL
- Machine Learning
Direkt bewerben
Duales Studium B.Sc. Informatik (m/w/d) ab 01.10.2027
Printus GmbH —Offenburg
- Informatik
- Hochschulreife
- Mitarbeiter-Rabatt
- Weiterbildungsprogramme

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Staff Fullstack Engineer – Agentic Product (m/f/d)
happyhotel —Offenburg
You combine strong product sense with hands-on engineering and build agentic systems that function reliably, safely, and scalably in practice.
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Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)

happyhotel -
Offenburg

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Preisgestaltung
E-Commerce
Master
SQL
Machine Learning
A/B-Test
Python
Analytik

Vollständige Stellenbeschreibung

Your Role

You will take on technical leadership and end-to-end ownership for our Pricing/Revenue-ML topics—with a clear focus on measurable impact. You will work closely with Product and Engineering, define measurability/experiments, and ensure that our models not only “look good” but also perform reliably in practice.

Important: No disciplinary personnel responsibility. You lead through expertise, standards, and ownership.

Your Responsibilities

End-to-End Ownership: You are responsible for the entire lifecycle of pricing and revenue topics—from hypothesis to implementation to measurable evaluation. Your focus: Clear business uplift.
Smart Modeling: You develop and optimize forecasting and pricing models. You pragmatically decide which method gets us to the goal fastest and most stably.
Signal Expertise: You manage time series, demand signals, and heterogeneous data sources. You ensure that features and labels are defined absolutely clean and “leakage-proof.”
Experimentation Framework: You build a robust measurement system (holdouts, A/B tests, guardrails) and define crystal-clear criteria for rollout decisions.
Engineering-Grade ML: You establish standards for backtesting, reproducibility, and versioning. For us, it's: Engineering quality instead of notebook-only.
Reliable Operations: You ensure operations through smart monitoring, drift detection, and pragmatic retraining mechanisms.
Automation & Scale: You automate high-leverage processes (backtests, monitoring checks) to massively increase throughput and quality.
Data Foundation: Where it makes sense, you design data models directly in the warehouse (Snowflake/dbt) as a basis for reliable metrics and features.
Full Transparency: You standardize dashboards (e.g., Metabase) for our business KPIs and ensure the data quality is beyond reproach.
Stakeholder Sparring: You prioritize requirements together with Product & Revenue and translate them into ML solutions. Your motto: Impact over output.

Your Profile

Deep Experience: You have 5+ years relevant experience in ML Engineering, Data Science, or Analytics (or an equivalent track record that convinces us).
Proven Impact: You have already achieved demonstrable success in the areas of pricing, revenue, forecasting, or similar “money systems.”
Evaluation Pro: You think offline vs. online, immediately recognize bias/leakage, and master the fundamentals of robust metrics and guardrails.
Tech Stack: Your Python and SQL skills are production-level (testable, versioned, reproducible).
Startup DNA: You love the 80/20 principle, work extremely pragmatically, and want full ownership for your topics.
Language Skills: You communicate fluently in German and confidently in English.

Bonus Points (Nice-to-haves)

Domain Knowledge: Experience in revenue management or dynamic pricing (e.g., travel, mobility, eCommerce).
Demand Understanding: You know how seasonality, events, and lead times affect pricing.
Modern Toolchain: You are proficient in analytics engineering (dbt, Snowflake, Metabase) and know how to build a clean data foundation.

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data engineer Jobs in achern, bw

Staff Machine Learning Engineer - Pricing & Revenue (m/f/d)

Staff Fullstack Engineer – Agentic Product (m/f/d)

Senior AI Product Engineer

(Senior) Data Analyst (m/w/d)

Staff Fullstack Engineer – Agentic Product (m/w/d)

Staff Machine Learning Engineer - Pricing & Revenue (m/w/d)

Duales Studium B.Sc. Informatik (m/w/d) ab 01.10.2027

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Ich möchte aktuelle Job-E-Mails für Stellen als data engineer in achern, bw erhalten

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