Senior Data Scientist

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

Senior Data Scientist

$120,000-$140,000

A venture-backed, early-stage technology company is seeking a Data Scientist to lead the development and deployment of advanced measurement, experimentation, and causal inference solutions. This individual will play a critical role in shaping core product capabilities, validating model performance with customer data, and helping translate analytical insights into business impact.

The ideal candidate combines strong quantitative expertise with the ability to communicate effectively across technical, business, and customer-facing environments. This is a highly entrepreneurial opportunity for someone excited about building systems, processes, and products from the ground up.

Key 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.

Required Qualifications

• PhD strongly preferred; Master's degree considered in Statistics, Economics, Computer Science, Data Science, or another quantitative discipline.
• Experience deploying causal inference and experimentation solutions in production environments.
• Hands‑on expertise with methodologies such as:
  • Synthetic Control
  • Difference-in-Differences (DiD)
  • Double Machine Learning (DML)
• Experience designing and analysing A/B tests and experimentation frameworks.
• Strong Python development and model‑building experience.
• Demonstrated ability to build new capabilities, products, frameworks, or functions in emerging or fast‑paced environments.
• Excellent communication skills with the ability to explain complex concepts to both technical and non-technical audiences.
• Comfortable interacting with customers and external stakeholders.

Preferred Qualifications

• Background in marketplace, technology, analytics, retail, consumer products, or related data‑intensive industries.
• Experience building data ingestion pipelines and data infrastructure.
• Interest or demonstrated potential in product leadership, product strategy, or future product management responsibilities.
• Previous startup or early‑stage company experience.