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Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain‑specific AI solutions, and deep subject‑matter expertise to elevate our clients' strategic decision‑making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble. We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East and the rest of Asia‑Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth‑oriented, and open culture that prioritizes flexible work‑life balance, diverse and inclusive teams, and equal opportunities for all. About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1,000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines. What you will be doing at Evalueserve: 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. What we’re looking for: 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. econometric modeling, digital multi‑touch attribution, experimental A/B testing, predictive modeling, etc. is a plus. Media planning experience at advertiser or agency side would be a plus. Ability to work collaboratively to tackle complex problems. Seniority level Mid‑Senior level Employment type Full‑time Job function Marketing, Consulting, and Analyst Industries Business Consulting and Services, Marketing Services, and Data Infrastructure and Analytics This job offer complies with Chilean Law No. 21.015, which promotes the inclusion of people with disabilities in the workforce. In accordance with this law, we are committed to fostering an inclusive work environment. If you require any reasonable accommodation to participate in the application process or to perform the essential functions of the role, please let us know. We are committed to providing the necessary support to ensure a fair and accessible process. Disclaimer The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure all information is factual and submitted on time. For any assistance, your TA SPOC is available to support you. 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