Tatari is seeking a Research Data Scientist to develop scalable, automated solutions for diverse data problems, optimize their business, and redefine marketing analytics for TV and streaming video media buying.
Requirements
- Advanced experience in data manipulation tools (e.g., Python, pandas, pyspark, SQL)
- Deep knowledge of statistics, probability, and machine learning techniques
- Experience building/testing/validating ML models using state-of-the-art tech
- Strong background designing and developing software to implement advanced analytic algorithms
- Industry experience with development and deployment of predictive models or recommendation systems
- PhD in a technical field
- Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
Responsibilities
- Build predictive models, measurement algorithms, and deep analyses to provide insights for optimizing our business.
- Applying fluent understanding of state-of-the-art machine learning techniques to build predictive models and recommender systems
- Applying deep understanding of statistics and probability to devise improvements to existing algorithms
- Contributing to developing and maintaining internal analysis software libraries
- Developing new intellectual property
- Analyzing large amounts of data to identify relationships and trends, translating them into actionable insights for our product team and clients
- Reporting findings, both orally and in writing
Other
- Masters’ degree in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
- A quick learner, with the ability to work independently and adaptably in a fast-paced environment
- Strengths in creativity & open-ended problem-solving-- able to identify what's important (and not important) to focus on in order to construct effective approaches to challenging problems
- Strong strategic thinking capabilities and project management skills
- Strong communication skills, both written and oral
- PhD in a technical field
- Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION
