Data Scientist

Key Skills

Data Modeling, Data science techniques, Design, Linear Algebra, Python Programming, SQL

Job Description

Responsibilities:

• Construct inferential models for cross-channel viewership measurement that inform the prediction and optimization layers (i.e., media planning)
• Design, build and fine-tune machine learning models for prediction (e.g., of impression capacity, of future media consumption, etc.)
• Perform exploratory data analysis leveraging all data sources related to our cross-channel offering (demand side and supply side)
• Work with the Engineering team in the expansion and continual enhancement of our cross-channel TV data platform
• Keep apace with the latest on digital advertising research and practices

Qualifications:

• BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical fields
• Good understanding of statistical learning techniques - model selection, feature engineering, parameter tuning, cross validation, etc.
• Good understanding of probability and linear algebra principles
• Working knowledge of the Python data science stack
• Basic working knowledge of SQL and eagerness to reach proficiency
• 2+ years of experience doing quantitative data analysis to solve real-world problems
• Agility and eagerness to learn - excited about learning new domains/approaches
• Ability to communicate findings and blockers clearly

Bonus points for:

• Advanced Degrees
• Experience with identity graph data models
• Experience with programmatic advertising
• Full proficiency with SQL

We are excited to be building out the various perks and benefits for our Ukraine team. More will be discussed during the interview phase!