Description:

Haus is seeking a Data Scientist specializing in Marketing Science to work remotely.
The role involves proactively identifying key business, product, and research questions that will enhance understanding of media and advertising.
Responsibilities include developing robust economic and statistical frameworks for causal inference and marketing measurement.
The candidate will leverage advanced methodologies to test hypotheses, validate findings, and inform strategic decisions.
Conducting in-depth analyses of large datasets using machine learning techniques combined with causal inference frameworks to derive actionable insights is essential.
The Data Scientist will communicate conclusions clearly to both technical and non-technical audiences, influencing product roadmaps and client strategies.
Producing high-quality research documentation, technical specifications, and knowledge-sharing materials is also part of the job.

Requirements:

A proven track record of building and deploying data science or econometric models in production environments is required.
Experience in adtech or related domains, such as marketing measurement and media optimization, is a significant advantage.
Hands-on experience with causal inference experiment design, including A/B testing and quasi-experimental designs, is necessary.
Familiarity with relevant frameworks like difference-in-differences, Bayesian methods, and uplift modeling is expected.
Proficiency in Python is required.
The candidate should be comfortable working within modern data pipelines, including SQL, Spark, and cloud environments.
A history of collaborating closely with diverse teams, including product managers, engineers, and external stakeholders, to drive alignment and deliver measurable results is essential.
The ability to explain complex ideas to non-technical audiences and translate business needs into technical solutions is necessary.
A self-driven approach to problem-solving, with a willingness to define questions, lead workstreams, and see them through to impactful delivery, is expected.

The position offers a competitive salary and startup equity.
Employees receive top-of-the-line health, dental, and vision insurance.
A 401k plan is provided.
The company supplies the tools and resources needed for productivity, including a new laptop and equipment.