Digitas is looking to solve complex marketing and business challenges through data-driven solutions, including cross-channel media and customer experience optimization, segmentation, targeting, and business strategy.
Requirements
- Hands-on experience analyzing data for patterns and insights.
- Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning.
- Hands-on experience with Python or R.
- Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred.
- Familiarity with prompt-based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus.
- Experience with big data sources and distributed systems.
- Experience with machine learning algorithms and AI.
Responsibilities
- Translating marketing and business questions into data queries.
- Using distributed computing systems to access and manipulate big data sources.
- Conducting exploratory analysis to identify relevant insights and useful transformations.
- Applying quantitative techniques to uncover latent patterns in the data.
- Interpreting data, analytical results and visuals to generate conclusions and recommendations.
- Testing scalable data pipelines or models for real-time applications.
- Ensuring that analytic tasks and results meet established objectives and timelines.
Other
- A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
- Demonstrated interest in marketing analytic applications.
- Demonstrated self-starter who thrives in a fast-paced environment with flat structure.
- Ability to share knowledge and conduct research to advance the collective knowledge and skills of our Data Science practice.
- Ability to work in a team environment and collaborate with others.
