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