We are seeking a talented and experienced Data Scientist to join our dynamic team in the ecommerce industry. As a Data Scientist, you will play a crucial role in driving data-driven decision-making and providing strategic insights to optimize our ecommerce operations. You will have the opportunity to work with large and complex datasets, develop advanced analytical models, and collaborate with cross-functional teams to enhance our customer experience, increase sales, and drive business growth.
Responsibilities:
- Build and implement predictive, causal machine learning and GenAI models, to understand customer behaviors, optimize operational efficiency, and perform forecasting exercises
- Design and execute experiments or observational studies to evaluate marketing effectiveness and transform ambiguous business questions into actionable growth strategies
- Partner with cross-functional teams to translate business requirements into technical solutions, define key successful metrics, and provide technical mentorship
- Manage and refine existing codebases and ETL pipelines using GitLab and internal CI/CD/orchestration tools to ensure scalable and automated data and model deployment
Requirements
- Advanced degree in a quantitative field with proven experience in applying statistical and machine learning techniques to real-world business problems
- 2+ years of Python and SQL proficiency, with a proven track record in model fine-tuning, data debugging, and utilizing large-scale distributed frameworks like Spark or Trino
- Strong problem-solving ability to independently prioritize tasks in fast-paced environments and the communication skills to translate complex analytical concepts for both technical and non-technical stakeholders
- Experience with ecommerce platforms, digital marketing analytics, and familiarity with industry-specific metrics and challenges is a plus.
- Experience in Causal Inference studies
