Data Scientist

Strategic Marketing Intelligence -->
Data Scientist quinto Necessario

ਹੁਕਪਰਾ ਕੇ

Full-Time/Regular

The Data Scientist works closely withाउने
Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated Data Scientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.

• Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
• Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
• Use data analysis, mining, and migration techniques for enhanced targeting, patriotic segmentation, clustering, profiling, and regression analysis.
• Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies.
• Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on‑going and post‑campaign reporting.
• Coordinate cross‑functional reviews to discuss region‑ and campaign‑specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models.
• Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site‑side tracking, reporting, and implementation.
• Provide client‑facing/non‑technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
• Work with Media,[Math. IME]ist Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives.

• Bachelor’s degree in related field.
• 2-3 years experience in data and analytics field.
• Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
• Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations.
• Advanced knowledge of Microsoft Excel.
• General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics.
• Experience with data orchestration tools such as Annalect Omni.
• Excellent verbal, written and interpersonal communication skills.
• Ability to work independently and as part of a team.
• Ability to manage multiple projects simultaneously while meeting deadlines.
• Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.