Mid-level Data Scientist

Jobtailor; Deutschland; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks a Data Scientist to translate business needs into predictive models and scalable analytics. You will build ML and DL solutions addressing fraud, recommendations, credit risk, and churn, collaborating with product and engineering teams to deploy impactful models in production.

You will lead exploratory analyses on large datasets and communicate insights to stakeholders, shaping product decisions and financial outcomes across our digital offerings.

Qualifikationen

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights.
• Build and deploy machine learning and deep learning models for fraud detection, recommendations, credit risk analysis, churn prediction, and other problems.
• Validate hypotheses through controlled experiments using A/B testing and statistical analysis.
• Collaborate with product owners and engineers to translate business problems into robust, scalable analytical solutions.

Aufgaben

• Translate complex business needs into predictive models and intelligent solutions.
• Take a leading role in evolving our ecosystem of financial and digital products, creating direct, large-scale impact on our customers' lives.

Kenntnisse

Predictive Modeling

Fraud Detection

Recommendation Systems

Credit Risk Analysis

Churn Prediction

Exploratory Data Analysis

Data Visualization

Data Mining

Statistical Modeling

Hypothesis Testing

Jobbeschreibung

Overview

As a Data Scientist, your mission will go far beyond the numbers: you will be challenged to translate complex business needs into predictive models and intelligent solutions. In a strategic capacity, you will take a leading role in evolving our ecosystem of financial and digital products, creating direct, large-scale impact on our customers' lives.

Responsibilities

• Translate complex business needs into predictive models and intelligent solutions.
• Take a leading role in evolving our ecosystem of financial and digital products, creating direct, large-scale impact on our customers' lives.

Qualifications

• Conduct exploratory analyses of large volumes of transactional and behavioral data to uncover actionable insights and business opportunities.
• Build and deploy machine learning and deep learning models that address real problems such as fraud detection, recommendation systems, credit risk analysis, purchase propensity, churn prediction, and others.
• Validate hypotheses through controlled experiments using A/B testing methodologies and statistical analysis.
• Collaborate with product owners and engineers to translate business problems into robust, scalable analytical solutions.

Hard Skills

• Predictive Modeling
• Fraud Detection
• Recommendation Systems
• Credit Risk Analysis
• Churn Prediction
• Exploratory Data Analysis
• Data Visualization
• Data Mining
• Statistical Modeling
• Hypothesis Testing

Soft Skills

• Collaboration
• Communication
• Problem Solving
• Critical Thinking
• Leadership