As a Data Scientist you will play a key role in evaluating and advancing Streaming Media technologies. You will partner closely with engineers and multi-functional product leaders to apply analytics rigor statistical methods and innovative ML/AI techniques to drive product quality and deliver exceptional user experiences. Your work will shape how streaming frameworks are measured monitored and improved at scale.
- Proven track record to frame analytical questions apply appropriate statistical techniques and derive actionable insights from complex datasets.
- Proficiency in data querying using SQL Spark or equivalent technologies.
- Strong experience with a scripting language for data processing and analysis (e.g. Python R or Scala).
- Deep expertise in machine learning statistical analysis multivariate methods A/B testing and sampling techniques.
- Excellent communication and multi-functional collaboration skills with the ability to convey complex concepts to diverse audiences.
- Self-motivated intellectually curious and adept at critical thinking with a demonstrated ability to thrive in ambiguous problem spaces.
- Experience designing and building scalable data systems and pipelines to support complex large-scale analytics initiatives.
- Software development experience in C C Objective-C or Swift able to collaborate effectively with engineering teams and contribute to production-grade systems.
- Masters degree in a quantitative or technical field such as Statistics Computer Science Engineering Mathematics or a related discipline.
As a Data Scientist you will play a key role in evaluating and advancing Streaming Media technologies. You will partner closely with engineers and multi-functional product leaders to apply analytics rigor statistical methods and innovative ML/AI techniques to drive product quality and deliver except...
As a Data Scientist you will play a key role in evaluating and advancing Streaming Media technologies. You will partner closely with engineers and multi-functional product leaders to apply analytics rigor statistical methods and innovative ML/AI techniques to drive product quality and deliver exceptional user experiences. Your work will shape how streaming frameworks are measured monitored and improved at scale.
- Proven track record to frame analytical questions apply appropriate statistical techniques and derive actionable insights from complex datasets.
- Proficiency in data querying using SQL Spark or equivalent technologies.
- Strong experience with a scripting language for data processing and analysis (e.g. Python R or Scala).
- Deep expertise in machine learning statistical analysis multivariate methods A/B testing and sampling techniques.
- Excellent communication and multi-functional collaboration skills with the ability to convey complex concepts to diverse audiences.
- Self-motivated intellectually curious and adept at critical thinking with a demonstrated ability to thrive in ambiguous problem spaces.
- Experience designing and building scalable data systems and pipelines to support complex large-scale analytics initiatives.
- Software development experience in C C Objective-C or Swift able to collaborate effectively with engineering teams and contribute to production-grade systems.
- Masters degree in a quantitative or technical field such as Statistics Computer Science Engineering Mathematics or a related discipline.
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