Sr. Data Scientist

Posted about 8 hours agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

🔍 Industry: Software Development

🏢 Company: Measured👥 101-250💰 $21,000,000 almost 3 years agoSaaS Analytics

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: AWSPythonSQLData AnalysisMachine LearningData scienceCommunication SkillsProblem SolvingCross-functional collaborationData visualizationData modeling

Requirements:

5+ years of experience in data science, with a focus on marketing analytics, econometrics, or causal inference with 2+ years of direct experience in building MMMs or marketing attribution.
B.S. or higher in Mathematics, Computer Science, Statistics, Data Science, or a related quantitative field.
Strong expertise in Marketing Mix Modeling (MMM), marketing attribution, or media measurement.
Proficiency in Python, SQL, and statistical modeling techniques such as Bayesian inference, time-series forecasting, and causal inference.
Experience working with large-scale data, experimentation, and probabilistic modeling.
Strong problem-solving skills, with an ability to work independently in a fast-moving environment.
Excellent communication skills, with the ability to translate mathematical concepts into business insights for technical and non-technical audiences.
Ability to integrate and debug complex code, ensuring models operate reliably at scale.
Ability to communicate complex mathematical concepts to any audience.
Ability to integrate and debug complex code.
Independent decision maker. Can take calculated risks and deal with ambiguity.
Takes initiative to improve and try new things.
Ability to work independently with minimal supervision within a strong team environment.
Comfortable with rapid change.
Values diversity and integrity.

Responsibilities:

Develop and refine advanced MMM models, incorporating media variables, pricing indices, promotional schedules, holidays, macroeconomic factors, and causal inference signals.
Implement Bayesian inference, hierarchical models, and experimental design techniques to enhance MMM accuracy and insights.
Automate and optimize model training, deployment, and monitoring to support large-scale, high-frequency modeling across clients.
Collaborate with Product and Engineering teams to integrate advanced data science solutions into the Measured platform.
Interpret complex data science outputs and translate them into actionable recommendations for marketers.
Conduct R&D on emerging measurement methodologies and apply cutting-edge statistical and machine learning techniques.
Support internal teams by providing expertise on MMM results, ensuring high confidence in model outputs and business recommendations.

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