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.