
Data Scientist, Ad Platforms
Work closely with the product team to identify and size new opportunities, develop data requirements, establish appropriate KPIs, and establish proper reporting. Quantify the impact of product, sales, and marketing initiatives on customer happiness, and future behavior. Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables. Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance, and greater customer happiness. Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior. Develop reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production.
Experience in a data science role - preferably in the digital advertising industry and/or product analytics.
Experience in advanced quantitative analysis including regression, classification, clustering, and time-series analyses.
Practical experience working with and conducting experiments on large datasets.
Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment.
Sql
Python
Tableau
R
Spark
Efficient at time management
Adobe clickstream data
Process Improvement
Driven and self-motivated
Prioritizing skills
Organizational skills
Communication Skills
Flexibility/Adaptability
Detail oriented and highly organized
Multi tasker
According to JobzMall, the average salary range for a Data Scientist, Ad Platforms in 6800 W Parmer Ln, Austin, TX 78729, USA is $90,000 - $120,000 per year. The salary range is dependent on a variety of factors, including the type of job, the employer, the candidate's experience level, and the location.
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Apple, Inc. engages in the design, manufacture, and marketing of mobile communication, media devices, personal computers, and portable digital music players. It operates through the following geographical segments: Americas, Europe, Greater China, Japan, and Rest of Asia Pacific. The Americas segment includes both North and South America. The Europe segment consists of European countries, as well as India, the Middle East, and Africa. The Greater China segment comprises of China, Hong Kong, and Taiwan.

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