Data Scientist creating market insights and predictive models for advertising sectors at Guideline. Collaborating with teams to analyze data and drive client engagement.
Responsibilities
Analyze structured and unstructured data to generate actionable insights for clients.
Build and maintain client facing products including but not limited to predictive models for market trends and revenue forecasts for publicly traded companies.
Create visuals and narratives around data to shape conversations around trends within the data.
Work with domain experts to develop features and test hypotheses relevant to equities and the overall advertising market.
Partner with product, data engineering and sales teams to embed insights into solutions that align with customer needs.
Ensure data integrity, quality, and governance in all analytical work.
Stay informed of market trends, financial regulations, and modeling advancements relevant to advertising.
Requirements
Bachelor’s Degree in computer science, statistics or direct experience required
3-5 years of experience with building data models and forecast
Proficient in Python coding, data analytics and machine learning
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