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Director, Data Science

Location
Los Angeles, CA
Posted
30 Jun 2020

We are looking for a Director to join our Data Science team in Los Angeles. A successful candidate should be an analytically minded hands-on individuals with a strong academic background, entrepreneurial spirit and interest in media and marketing.
The advanced analytics team is a part of the broader Company Business Analytics Engine (BAE). We drive a new system of working that puts data, analytics, and technology at the core of every planning decision. The BAE consolidates data inputs, Organizationels, and Organizationel outputs and links directly to proprietary media planning and optimization tools. This role in the advanced analytics teams will be responsible for data mining, Organizationelling and delivery of insights across multiple accounts.
Essential Functions
Present analysis to planners and external clients
Participate in brainstorming sessions with communication planners, creative teams, media planners, buyers, clients and other partner agencies
Apply sCompanytantial amounts of independent critical thinking
Implement a variety of analytical techniques, ranging from data mining, to statistical Organizationeling and numerical optimizations on a wide range of data sources (sales, brand equity, search interest, website visits, social media)
Provide intellectual leadership, analytic creativity and research new tools and techniques
Uncover business opportunities form data analysis
Train and mentor junior team members
Work with internal stakeholders to enhance analytic processes, and develop new capabilities to increase Real Time media allocation optimization.
Qualifications
Education
Bachelor's degree in statistics, mathematics, econometrics, quantitative finance, actuarial science or engineering from a reputable university
Master's degree is preferred
Work Experience
6 + years of experience in analytics function
Experience in media or marketing is a plus
Experience managing reports
Strong interpersonal, written, and verbal communication skills
Strong background in statistical analysis, particularly regression based Organizationeling and marketing mix Organizationeling
Attention to detail
Internal stakeholder management
Superior problem solving and analytical thinking
Experience with data-management, statistical and optimization tools, ideally SAS/R/SQL/Python

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