Staff Data Scientist

As a Staff Data Scientist, you will join a cross-functional team that designs, implements, and maintains state-of-the-art machine learning models to automate and optimize marketing operations and customer experience. You will be turning innovative ideas into data-driven products to bring these ideas to reality while directly contributing to our business' success.

You will be working in a team of data scientists and machine learning engineers, closely with data engineers and data analysts who also specialize in the Marketing domain. The main projects the team is working on are focused on media spend optimization, attribution, understanding business performance trends, and forecasting future growth.

To succeed in this role, you will be curious, a fast learner, and someone who thrives when given an open-ended problem to solve. You will be comfortable suggesting multiple solutions based on your experience and prioritizing tasks based on effort and likely impact. As a senior member of the Data Science team, you will jump into problem-solving with others as challenges arise and coach junior members of the team to increase their skills and impact.

You will…

• Lead the development, deployment, and adoption of models to measure marketing campaigns, optimizing investments across short and long-term business objectives.
• Take ownership of end-to-end projects, operating where there's a high degree of ambiguity, and delivering results within ambitious timelines.
• Be a strong contributor to the team's pipeline of projects and roadmap for each, ensuring we are focusing our efforts on the highest impact tasks.
• Think creatively about our most complex problems, for both the modeling/science side and the implementation and adoption by end users.
• Collaborate with Data Scientists, Data Engineers, Data Analysts, Marketing Managers, and other domain experts.
• Act as a mentor, guiding and coaching junior Data Scientists in both technical and non-technical aspects.

You have…

• MSc/Bachelors in STEM, e.g., Computer Science, Data Science, Mathematics.
• At least 5 years' experience building productionalized machine learning models.
• Expert level Python and SQL; experience in Databricks is a plus.
• A solid grasp of advanced statistical concepts (e.g., Bayesian statistics; sequential testing; multilevel and generalized linear models; double ML; timeseries; bootstrapping).
• Practical experience building advanced science models and integrating them into existing business processes.
• Strong organizational skills, a sense of ownership and accountability, and the ability to lead projects independently.
• Excellent communication skills with the ability to tailor messages to different audiences, from technical teams to executives.