Staff Data Scientist I, Direct Marketing

Stellenbeschreibung:

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

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Stelleninformationen

  • Veröffentlichungsdatum:

    16 Sep 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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