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.
Top Skills
What We Do
Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.
