Remote Senior Data Scientist - Customer Facing

Description:

• Haus is a decision science platform focused on the new digital privacy paradigm where data sharing and PII is restricted.
• The platform utilizes frontier causal inference based econometric models to run experiments and help brands understand the impact of their marketing, pricing, and promotions on their bottom line.
• The team consists of former product managers, economists, and engineers from major companies like Google, Netflix, Amazon, and Meta.
• The mission is to make high-quality decision science tooling and incrementality testing accessible to all businesses.
• The role involves partnering with Customer Success leaders to scale the delivery and interpretation of results from the science platform.
• The candidate will serve as a trusted advisor to customers, focusing on driving value and confidence in results.
• Responsibilities include collaborating with various teams to develop solutions for robust results and seamless communication.
• The ideal candidate should be a seasoned analyst comfortable with deep data analysis and communicating insights to diverse audiences.
• The role includes mentoring junior analytical leads and establishing best practices for results robustness and process efficiency.

Requirements:

• A degree in Economics, Statistics, Data Science, or a related field is required.
• A minimum of 5 years of experience in a Data Scientist or Analyst role is necessary.
• Strong communication skills are essential, with the ability to synthesize complex technical concepts concisely.
• Proven experience in presenting to customers and cross-functional stakeholders is required.
• Experience in coding and troubleshooting statistical models is necessary.
• Proficiency in Python and SQL is required.
• Experience with marketing measurement, particularly regional testing, is preferred.

Benefits:

• 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.