Staff Data Scientist I, Direct Marketing

Jobtailor; Deutschland; Remote; EUR 110.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an accomplished ML leader in Germany to drive development and deployment of real-time models with emphasis on automation and innovation. You will mentor data scientists, guide cross-functional teams, and deliver impactful analytics using Python and AWS tools.

The role requires extensive ML experience, strong communication, and the ability to translate complex insights for technical and non-technical audiences. A leadership mindset and proactive approach are essential.

Qualifikationen

• Advanced degree in a quantitative discipline (Master’s or PhD preferred).
• 8+ years of experience applying advanced quantitative techniques in industry.
• Demonstrated leadership in developing and deploying real-time models, emphasizing automation and innovation.
• Expert-level Python skills, including data querying, manipulation, and modeling.
• Extensive experience developing and applying advanced ML models, particularly ensemble methods.
• Skilled in version control (e.g. Git) with experience contributing to large-scale, collaborative projects.
• Hands-on experience with AWS tools (e.g., EC2, SageMaker, Redshift) or equivalent platforms for scalable compute and storage.
• Excellent business intelligence and visualization skills.
• Ability to communicate insights and technical concepts to technical and non-technical audiences.
• Ownership mentality and demonstrated ability to take initiative, drive work forward, and mentor others.
• Strong communication skills.
• Must be on camera for virtual interviews.

Aufgaben

• Demonstrates expertise in developing and deploying advanced ML models, particularly ensemble methods, while leading cross-functional teams and mentoring data scientists.
• Proficient in Python, AWS tools, and version control, with a strong focus on automation, innovation, and effective communication of technical concepts.

Kenntnisse

Python

AWS

Leadership

ML models

Data querying

Data manipulation

Version control

SageMaker

Redshift

Visualization

Ausbildung

Master’s degree or PhD in a quantitative field

Tools

Git

AWS EC2

AWS SageMaker

AWS Redshift

ML Operations

Jobbeschreibung

Requirements

• Advanced degree in a quantitative discipline (Master’s or PhD preferred)


• 8+ years of experience applying advanced quantitative techniques in industry


• Demonstrated leadership in developing and deploying real-time models, emphasizing automation and innovation


• Expert-level Python skills, including data querying, manipulation, and modeling


• Extensive experience developing and applying advanced ML models, particularly ensemble methods


• Skilled in version control (e.g. Git) with experience contributing to large-scale, collaborative projects


• Hands-on experience with AWS tools (e.g., EC2, SageMaker, Redshift) or equivalent platforms for scalable compute and storage


• Excellent business intelligence and visualization skills


• Ability to communicate insights and technical concepts to technical and non-technical audiences


• Ownership mentality and demonstrated ability to take initiative, drive work forward, and mentor others


• Strong communication skills


• Must be on camera for virtual interviews

Core Competencies

Demonstrates expertise in developing and deploying advanced ML models, particularly ensemble methods, while leading cross-functional teams and mentoring data scientists. Proficient in Python, AWS tools, and version control, with a strong focus on automation, innovation, and effective communication of technical concepts.

Highest-signal resume keywords

• Advanced Degree In Quantitative Discipline


• Expert-Level Python Skills


• Extensive Experience With Advanced ML Models


• Hands-On Experience With AWS Tools


• Demonstrated Leadership In Model Development

Hard Skills

• Advanced Quantitative Techniques


• ML Model Development


• Data Querying


• Data Manipulation


• Modeling


• Automated Testing


• Production Engineering Practices


• Monitoring Frameworks


• Version Control


• Ensemble Methods

Soft Skills

• Strong Communication Skills


• Ownership Mentality


• Mentoring Ability


• Initiative


• Collaboration

Industry Keywords

• Performance Marketing


• Bidding Optimization


• Targeting Optimization


• Marketing Optimization


• Business Intelligence


• Visualization Skills

Tools & Technologies

• AWS EC2


• AWS SageMaker


• AWS Redshift


• Git


• ML Operations