Business Data Scientist, gTech Ads

Requirements:

• 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: