Functions: Work directly with one of our clients, a major retail firm, to assist with their marketing analytics and data science initiatives. Lead, mentor and grow the data science team by providing guidance and fostering data driven decision making Manage and lead team meetings, and influence stakeholders with thought leadership Develop presentations and reports with relevant findings and be able to present findings with actionable recommendations to key stakeholders. Utilize marketing analytics and data science techniques to discover key insights and deliver actionable recommendations for the client in the experimentation area. Build and utilize machine learning models to perform classification, regression, clustering, forecasting, etc. Work with marketing and customer data to derive insights. Help to evaluate the effectiveness of various marketing campaigns. Maintain data integrity, quality and accuracy Requirements: Bachelor?s or advanced degree in Statistics, Data Analytics, Digital Marketing or related field, or equivalent relevant work experience. Strong Communication Skills 8-10+ years of experience in retail media, media planning, digital media, marketing measurement and site/ search analytics. Industry experience with a Retail, CPG, or Marketing Analytics firm is preferred. Be familiar with digital retail media campaign KPIs and media analytics (ROAS, iROAS, CPC, CVR, CPM, SOV, AOV, ACOS, TACOS, impressions, reach, frequency, etc.) Have experience with the ad-tech and mar-tech industry with extensive experience in measuring performance across the purchase funnel. Ability to use tools such as Google Analytics, Adobe Analytics, Python, R, Spark, SQL, etc. Possess the ability to build ML models to perform classification, regression, clustering, NLP, forecasting, etc. Be familiar with display, omnichannel, video, CTV, social commerce, shoppable ads, etc. Any working knowledge of marketing measurement approaches, i.e.
