Data Scientist - Synthetic Data | up to $130,000 | Leading Market Research Brand | ET Time Zone
A leading global market research brand is looking for an innovative Data Scientist to join a newly created R&D function diving into all things synthetic data. The new function dots directly into a senior leadership panel with a huge buy-in across the board.
You will be shaping the future of how this organization conducts market research globally, the impact of the team you're joining is far-reaching
The Team You'll Be Joining:
You will be joining the Head of Innovation & Lead Data Scientists as one of the earlier hires in the team. Joining you will be 2 dedicated Data Engineers, however, there are expectations for this function to scale, so you're joining nice and early in the journey.
What you'll be doing in this role:
- Designing, implementing, and evaluating synthetic data generation algorithms and models, either proprietary, prebuilt or third-party, including Generative Adversarial Networks (GANs) and other generative AI techniques.
- Collaborating with cross-functional teams to identify use cases for synthetic data in areas such as market research, customer insights, and predictive analytics.
- Staying at the forefront of the latest advancements and research in generative AI & synthetic data techniques.
- Conducting research and experiments to push the boundaries of the synthetic data capabilities.
What you will bring:
- A PhD or a Master’s in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline
- Proficiency in Python and experience with data science libraries like pandas, sci-kit-learn, and TensorFlow or PyTorch
- A deep understanding of generative models, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) and other techniques used for synthetic data generation such as SMOTE
What you'll get in return:
- You will be joining an exciting R&D team in its infancy, the impact of which will be woven into the entire global business.
