Candidates must possess a strong foundation in statistics, probability, and machine learning fundamentals, demonstrated through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas and Scikit-learn, is essential. The role requires a demonstrated ability to pragmatically solve real-world problems using data, clear and structured communication skills, a growth mindset characterized by curiosity and eagerness to learn, and business acumen with commercial awareness. Familiarity with cloud tools like AWS or GCP, version control systems like Git, and exposure to A/B testing, forecasting, causal AI, or graph AI are considered advantageous.
The Junior Machine Learning Engineer will support the development of predictive models and data-driven solutions to address marketing and customer challenges. Responsibilities include conducting exploratory data analysis, feature engineering, and data cleaning to prepare data for modeling. The role involves writing clean, well-documented Python and SQL code, collaborating with data scientists and analysts to translate insights into business recommendations, and communicating findings clearly to both technical and non-technical stakeholders. Continuous learning of new tools, techniques, client domains, and business challenges is also a key aspect of the role.
Precision marketing agency using data-driven strategies
RAPP Worldwide focuses on precision marketing by using detailed data and advanced technology to create personalized marketing experiences for consumers. They serve a variety of clients across sectors like healthcare and technology, delivering engaging campaigns that enhance customer experiences and build brand loyalty. RAPP generates revenue through marketing services such as data analytics and creative content production, as well as consulting to optimize marketing strategies. As part of the Omnicom Group, they leverage a broad network of resources to provide effective marketing solutions.