Senior Machine Learning Engineer

happyhotel

. Develop and optimize forecasting and pricing models, as well as data-driven decision logic .

Posted 9/15/2026full-timeOffenburg • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing forecasting and pricing models, with strong proficiency in SQL and Python. Capable of automating analyses, ensuring data quality, and collaborating effectively in product-oriented environments.

Highest-signal resume keywords

Data ScienceApplied ML EngineeringSQLPythonRevenue Management

ATS Keywords

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Hard Skills

Forecasting ModelsPricing ModelsData-Driven Decision LogicTime Series AnalysisData QualityDebuggingMetric ConsistencyA/B TestingBacktestingMLOps

Soft Skills

Clear CommunicationOwnershipPragmatic ApproachReliabilityEntrepreneurial Mindset

Tools & Technologies

DbtSnowflakeMetabaseAWS

Industry Keywords

Dynamic PricingSeasonalityDemand SignalsData LeakageHeterogeneous Data Sources

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Develop and optimize forecasting and pricing models, as well as data-driven decision logic
Work with time series, demand signals, and heterogeneous data sources
Define features and labels carefully to prevent data leakage
Evaluate models using backtests, robust metrics, and segmentation analyses
Support holdout experiments and A/B testing logic
Monitor offline versus online performance
Establish best practices for backtesting, reproducibility, and versioning
Build dashboards and reports that make model and business KPIs transparent
Improve reproducible workflows, versioned pipelines, and meaningful tests
Automate recurring analyses and evaluation runs
Collaborate closely with Product and Engineering
Help scale the next generation of automated revenue management for happyhotel’s hotel technology platform

Requirements

What you’ll need

4+ years of experience in Data Science or Applied ML Engineering
Ideally, experience working directly in a product or business context
Extremely strong SQL skills
Strong understanding of data quality, debugging, and metric consistency
Ability to write clean, comprehensible Python code
Initial experience in product-oriented environments is a plus
Awareness of bias and data leakage
Understanding of guardrails and offline-versus-online scenarios
Strong sense of ownership, pragmatic 80/20 approach, reliability, and clear communication
Entrepreneurial mindset
Fluent German
Good English skills
Nice to have: experience in revenue management or dynamic pricing
Nice to have: knowledge of seasonality, events, lead times, and segment patterns
Nice to have: experience with dbt, Snowflake, or Metabase
Nice to have: practical experience with MLOps tools and cloud infrastructure such as AWS

Benefits

Comp & perks

No specific benefits or additional compensation details stated
Flexible work model options: fully remote within Germany with office attendance twice per quarter, hybrid with two office days per week, or fully onsite
Salary expectations requested in euros per year