Senior Data Scientist — Data Cloud Acceleration

Responsibilities

We are representing a confidential marketing technology organization seeking a Senior Data Scientist to join their data acceleration team in Berlin. In this hands-on individual contributor role, you will own the complete lifecycle of model and analytics deliverables—from understanding business requirements through data preparation, modeling, validation, documentation, and delivery.

Your core responsibilities include:

• Independently own model and analysis deliverables, taking defined business problems and delivering reliable models, analysis components, scoring workflows, or supporting datasets
• Translate business questions into analytical approaches by asking clarifying questions, understanding output usage, and recommending approaches that fit the decision, timeline, and available data
• Build and test models quickly using statistical methods, machine learning, deep learning, or existing models and services where appropriate
• Prepare trustworthy data by profiling, cleansing, joining, and validating noisy datasets while checking completeness, freshness, distributions, nulls, duplicates, and match rates
• Create repeatable scoring workflows by building reusable Python components, batch-scoring processes, APIs, or lightweight services that move work beyond notebooks
• Evaluate results responsibly by establishing baselines, selecting appropriate metrics, performing statistical reasonableness checks, reconciling unexpected results, and clearly documenting limitations
• Support intelligence products and applications by working with application and data teams to define data ingredients, test hypotheses, and integrate model outputs into usable experiences
• Add operational discipline including validation, monitoring, failure handling, refresh expectations, documentation, and clear usage paths to delivered work
• Use AI to improve your own productivity by applying tools to accelerate coding, testing, research, debugging, and documentation while independently verifying results
• Communicate progress early and clearly, making milestones, assumptions, risks, dependencies, and issues visible rather than waiting until delivery

What We're Looking For

Our client values business-minded technologists who prioritize impact over technical novelty. The ideal candidate can work independently on well-defined deliverables, producing reliable and repeatable outputs rather than one-time analyses. You should be able to move quickly without sacrificing trustworthiness and know how to balance statistical rigor with practical business needs.

Key qualifications include:

• Experience applying statistical analysis and machine learning to real business problems
• Strong Python skills and familiarity with libraries such as pandas, scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow
• Strong SQL skills and experience analyzing large datasets
• Experience with cloud data platforms such as Snowflake, Databricks, Athena, Hive, BigQuery, or similar technologies
• Experience developing classification, regression, clustering, forecasting, recommendation, optimization, or anomaly-detection solutions
• Familiarity with model evaluation, experimental design, feature engineering, and statistical validation
• Experience creating repeatable batch-scoring workflows or exposing model outputs through APIs or services
• Familiarity with orchestration and automation tools such as Airflow, AWS Glue, Prefect, or similar platforms
• Experience using version control, testing, and reproducible development practices
• Ability to explain analytical results and trade-offs to technical and nontechnical stakeholders
• Meaningful use of GenAI tools to improve the speed and quality of day-to-day work

You will thrive in this role if you:

• Are pragmatic and select the simplest credible approach that can deliver useful business impact
• Move quickly with discipline, producing initial versions rapidly while still validating fundamentals
• Care about trust by checking data, questioning surprising results, and making limitations visible
• Work well with ambiguity and can turn incomplete requests into clear sets of questions, assumptions, and next steps
• Think beyond the notebook and consider how models will be refreshed, accessed, demonstrated, monitored, and reused
• Understand business context and evaluate technical decisions through the lens of client outcomes, revenue, cost, adoption, and decision quality
• Are curious and low-ego, comfortable learning from others and using existing solutions when appropriate

How We Work With You

Our talent team at Get A Job.ai will guide you through the entire application process. When you apply through our platform at getajob.ai, one of our recruiters will conduct an initial screening to understand your background and ensure strong alignment with the role. We will then submit qualified candidates to our client for consideration.

Please apply exclusively through Get A Job.ai—do not contact the client directly. We serve as your advocate throughout the hiring process and will keep you informed at every stage.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to diversity, equity, and inclusion in our recruiting practice. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.