Principal Data Scientist

A well-established next-generation consumer products company with a global footprint is looking for a Principal Data Scientist. The selected candidate will be the center of data-driven decision-making and applied research for the company. The platform specializes in quickly analyzing e-commerce firms, extending the brand, and offering long-term earnouts as the business expands. The company has managed to raise funding worth more than $3 bn. This role requires a significant time overlap with the EST timezone.  

Job Responsibilities:

• Define and lead the entire Data Science lifecycle, from ideation to prototyping, testing, deployment, and evaluation of the overall business impact
• Determine the areas of foundational research that will unite multiple business enterprises
• Work with the executive team to develop a Data Science strategy
• Develop team best practices and take responsibility for the codebase and workflows' quality
• Utilize machine learning and advanced data analysis techniques to create quantitative models
• Lead data-driven decision-making for business stakeholders and improve the external stakeholders' experience
• Establish technological ambitions and a data science strategy to achieve some ambitious goals
• Develop large-scale AI systems for locating and acquiring new e-commerce targets
• Create pricing elasticity models for products so that the organization can estimate sales and demand
• Understand and enhance the performance of Amazon's black-box algorithm across the product portfolio
• Build a marketing and creative experimentation framework to drive the advertising budget and targeting strategy
• Be a technical leader and drive strategic initiatives for the team by mentoring engineers
• Build a data-centric culture by delivering presentations to high-level business leaders that tell coherent, logical stories using data
• Identify and own innovative research and engineering initiatives that have the potential to change the game

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 12+ years of experience in data science or related roles
• 3+ years experience as a data science, ML, analytics, or engineering technical lead
•  Advanced knowledge of a modern data science platform such as Pandas/Jupyter or R/Rstudio
• Strong background in quantitative research and applied statistical methods, such as causal inference, forecasting, stochastic modeling, Bayesian methodologies, or advanced experiment design
• Excellent communication and leadership skills
• Prior business relationship-building experience 
• Ability to synthesize data and develop useful conceptual models, and establish alignment and execution