Lead Data Scientist: Causal Inference & Production ML

Harnham; Nashville (TN); On-site; USD 120,000 - 140,000; Full time

Job summary

Harnham in Nashville is seeking a Senior Data Scientist to lead development and deployment of advanced measurement, experimentation, and causal inference solutions. You will shape core product capabilities, validate models with customer data, and translate insights into business impact.

The role requires strong quantitative expertise and excellent communication across technical, business, and customer-facing environments.

Qualifications

• PhD strongly preferred; Master’s considered in quantitative fields.
• Experience deploying causal inference and experimentation in production.
• Hands-on with methods like Synthetic Control, DiD, and DML.
• Experience designing and analysing A/B tests and experimentation frameworks.
• Strong Python development and model-building experience.
• Excellent communication skills across technical and non-technical audiences.
• Comfortable interacting with customers and external stakeholders.

Responsibilities

• Own the design, testing, and optimisation of models that drive product recommendations and insights.
• Translate causal inference and experimentation methodologies from research concepts into production-ready solutions.
• Validate model effectiveness using real-world customer data.
• Lead a critical modelling workstream from development through deployment.
• Partner directly with customers during pilot programmes and proof-of-concept engagements.
• Collaborate with cross-functional teams to improve analytical capabilities and product outcomes.
• Contribute to the continued evolution of the company's data science and measurement strategy.

Skills

Python development

Communication skills

Quantitative analysis

Causal inference

Education

PhD in statistics/economics/computer science/data science

Master's in quantitative field

Job description

Harnham in Nashville is seeking a Senior Data Scientist to lead development and deployment of advanced measurement, experimentation, and causal inference solutions. You will shape core product capabilities, validate models with customer data, and translate insights into business impact.

The role requires strong quantitative expertise and excellent communication across technical, business, and customer-facing environments.