Principal Consultant – Marketing Data Scientist

Elevate Your Impact Through Innovation and Learning

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 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.

Important responsibilities in this role will include:

• Work directly with one of our clients, a major retail firm, to assist with their marketing analytics and data science initiatives.
• 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.
• Develop presentations and reports with relevant findings and be able to present findings to key stakeholders.

Skills we’re looking for:

• Bachelor’s or advanced degree in Statistics, Data Analytics, Digital Marketing or related field, or equivalent relevant work experience.
• 7-10 years of experience in retail media, 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 (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.
• Ability to work collaboratively to tackle complex problems.
• Strong communications skills.