Data Scientist (Machine Learning)

As a Machine Learning Scientist, you will work collaboratively with our Data Scientists and Data Analysts to develop analytical frameworks and reliable measurement strategies for eCommerce.

In this role, you will be responsible for working on models to optimize customer experience, enhance the ROI of marketing campaigns, detect abuse in marketing campaigns, and solve interesting problems related to ranking and recommendations. You will also be tasked with devising and evaluating models to identify growth opportunities, estimate the impact of new features on our platforms, and personalize the user experience.

Additionally, you will be responsible for identifying the most impactful opportunities for business development based on user needs, scoping and independently solving moderately complex problems, and taking ownership of projects with minimal guidance. You will partner with other data scientists, data analysts, and data engineers to test and build hypotheses, deliver actionable insights that fuel business decisions, and define the metrics used to measure the performance of initiatives and track them through dashboards.

As an advocate for data-informed decision-making, you will make recommendations about product performance and product experience available to the whole organization. You will also present your research and insights to all levels of the company, including executive level, in a clear and concise manner.

To be successful in this role, you should hold a degree in Computer Science, Mathematics, Statistics, or any quantitative field. You should also have strong coding experience with SQL, Python, R, and experience in standard ML frameworks like PyTorch and Tensorflow. Additionally, you should have experience analyzing and visualizing large datasets representing eCommerce industries, be a strong communicator, team player, and a thoughtful and efficient problem solver. You should have a passion for applied ML and AI, as well as an interest in learning new programming languages and technologies.