Senior Data Scientist

Are you passionate about making a huge business impact by leveraging data-driven insights and operationalizing machine learning models? Do you love working collaboratively in an innovative environment, transforming data into scalable production solutions? We have an exciting opportunity to define how we use analytics, Generative AI (GenAI), and machine learning to transform customer experiences, accelerate business growth, and optimize our marketing efforts.

We are looking for a data-driven individual with deep experience in marketing-centric data modeling and optimization. As a Senior Data Scientist on the Marketing Science team, you will play a critical role in informing marketing strategy and decision-making by applying sophisticated analytics and machine learning techniques. The ideal candidate will be an intellectually curious, extremely self-driven individual with a proven track record of leading analytics for critical business areas and a passion for operationalizing data-driven insights.

Responsibilities

• Develop media mix models to measure the incremental impact of marketing campaigns, web tests, and structural changes.
• Lead MMM model data collection, management, and variable definition.
• Develop and implement a systematic approach to structure, extract, analyze, and deploy insights, leveraging GenAI models and Large Language Models (LLMs) to optimize marketing campaigns and customer experiences.
• Communicate results and share actionable insights clearly, concisely, and confidently to the broad team and leadership.
• Provide recommendations to business leaders and stakeholders on the best way to utilize available data for various business opportunities.
• Effectively respond to unexpected plan changes and prioritize for the best outcomes, fostering a culture of high-quality output and a growth mindset.
• MS / PhD in a quantitative field such as Business, Math, Statistics, Finance, Economics, or a related field with 3+ years of experience in an analytics role.
• Hands-on experience in machine learning, GenAI, and model productionalization.
• Proficient in one or more analytics tools such as Python and R.
• Efficient in SQL, Hive, SparkSQL, PySpark, etc.
• Deep understanding of statistical modeling and marketing measurement, with a track record of solving problems using these methods.
• Has built out media mix models that informed budget allocation.
• Confident with machine learning techniques and sophisticated analytics (e.g., regression, classification, clustering, time series, econometrics, mathematical optimization).
• Ability to transform data and insights into compelling stories, educating and influencing stakeholders to inspire action.
• Excellent communication skills, ability to learn fast, and confidence in taking ownership.

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