Senior Data Scientist

5 dni temu


Warszawa, Mazovia, Polska Gfrfund Pełny etat
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. At Samba TV, we leverage cutting-edge data science to redefine how industry leaders and consumers interact with television. We're looking for a Senior Data Scientist to drive advanced analytics initiatives, translate ambiguous business requirements into clear, actionable insights, and develop innovative methodologies that empower our teams. This role is ideal for a hands-on problem solver with deep analytical expertise who is eager to become a subject matter expert in a specific business area - such as viewership data processing or measurement - while collaborating closely with engineers and product teams. Key Responsibilities:
  • Lead deep-dive analysis projects and develop new methodologies by rigorously testing and enhancing our data processing techniques.
  • Collaborate closely with engineering and product teams to transform vague requirements into clear, comprehensive project documentation and actionable plans.
  • Build specialized knowledge in a focused business domain over time, guiding strategic initiatives based on your insights.
  • Oversee the integration of multiple projects within the team, ensuring that analytical solutions are developed and executed effectively.
  • Mentor junior team members, providing technical guidance and career development support.
  • Utilize our tech stack - Python, PySpark, Databricks, and AWS - to build and maintain robust data analytics solutions, leveraging your programming expertise and foundational AWS skills.
Qualifications:
  • Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science, or similar).
  • 5+ years of experience in data analysis, data processing, or related fields.
  • Proficiency in at least one programming language (e.g., Python, R, or SQL) with a strong foundation in analytical techniques.
  • Practical experience with cloud platforms and big data frameworks, with a working knowledge of AWS and PySpark.
  • A proven ability to translate complex, ambiguous requirements into clear, actionable project deliverables.
  • Excellent communication and collaboration skills, with experience working in cross-functional teams.

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