Dentsu is a global leader in integrated growth and transformation, driving sustainable solutions and innovation for some of the world's most influential brands. Founded in 1901, dentsu operates in approximately 120 countries with a team of approximately 68,000 employees, and boasts a network of world-class brands, including Carat, Dentsu Creative, dentsu X, iProspect, Merkle, and more. These brands, each with deep expertise in media, creativity, and digital, collaborate to deliver integrated growth solutions that create lasting, meaningful impact.

Merkle, a dentsu company, is a leading customer experience management (CXM) firm with over 35 years of expertise in data, technology, and design. Operating in over 30 countries across the Americas, EMEA, and APAC, Merkle specializes in delivering personalized, data-driven marketing strategies that drive growth, engagement, and loyalty for its clients. With a team of more than 16,000 employees, Merkle combines strategic insight with advanced technology to transform customer experiences across platforms and devices.

As we look toward the future, dentsu is focused on Innovating to impact—fostering collaboration, creativity, and cutting-edge technology to drive real, transformative change.

We are looking for a skilled Data Scientist with 2-3+ years of experience in AI/ML technologies. The ideal candidate should have expertise in developing machine learning models such as lead scoring, propensity scoring, and other predictive analytics solutions. Experience with Customer Data Platforms (CDP) and working knowledge of technologies like Python and R is essential.

Key Responsibilities:

• Develop and deploy ML models for lead scoring, propensity modeling, churn prediction, and customer segmentation.
• Work with structured and unstructured data to derive meaningful insights and optimize customer engagement strategies.
• Utilize Customer Data Platforms (CDP) to enhance data collection, segmentation, and personalization initiatives.
• Implement data preprocessing, feature engineering, and model validation techniques to improve accuracy and performance.
• Collaborate with cross-functional teams including marketing, analytics, and engineering to integrate ML models into business processes.
• Conduct exploratory data analysis (EDA) and create data visualizations to communicate findings effectively.
• Stay updated with the latest advancements in AI/ML and leverage emerging technologies to drive innovation.

Required Skills & Qualifications:

• 2-3+ years of experience in data science, machine learning, and predictive analytics.
• Proficiency in Python and R for data analysis, machine learning, and model deployment.
• Experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar.
• Strong understanding of supervised and unsupervised learning algorithms.
• Hands-on experience in building lead scoring, propensity scoring, and other customer-centric ML models.
• Familiarity with Customer Data Platforms (CDP) such as Adobe Experience Platform (AEP), Salesforce CDP, or similar.
• Knowledge of SQL and data manipulation techniques.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Experience in working with cloud platforms (AWS, GCP, or Azure) is a plus.

Preferred Qualifications:

• Experience in marketing analytics and customer journey optimization.
• Knowledge of big data technologies like Spark, Hadoop, or Databricks.
• Experience in deploying ML models using APIs or cloud-based solutions.

Innovating to Impact:

At dentsu, our diverse and inclusive culture empowers our employees to bring their whole selves to work, fostering innovation and delivering better outcomes for our people, clients, and communities. This culture is key to driving sustainable, transformative results across the business.

We actively encourage applications from people with disabilities and from individuals of all ages, backgrounds, nationalities, and cultures. If you want to be part of a global network where opportunities are limitless, we look forward to welcoming you.