Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Nice to haves:
2 years of experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
2 years of experience using or deploying digital analytics and measurement solutions.
Understanding of the statistical algorithms typically used in Marketing Analytics.
Proficiency in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting-edge generative AI technologies to customer issues in marketing.
What you'll be doing:
Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of ML and statistics.
Collaborate with customers to unpack the issues and identify the best statistical techniques that can solve the issues and own the development of end-to-end modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a large solution.
Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Scientist, (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
Perks and Benefits:
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Equal opportunity and affirmative action employer with a commitment to building a representative workforce.
Global company requiring English proficiency for all roles unless stated otherwise in the job posting.
Accommodation for applicants form available for those with specific needs.