Lead Data Scientist

Culture Amp

Culture Amp is a leader in employee experience platforms, transforming engagement and performance for millions across 6,500 companies. This role focuses on leading data science efforts to enhance features that support high-performing teams globally. The team focuses on delivering actionable insights through world-class data sets, aiming for innovation in employee engagement and performance.

In this role you can expect to have the responsibilities:

• Lead an enrichment team to develop AI-based data pipelines
• Collaborate with stakeholders to define purpose, value, and dependencies
• Contribute to data science strategy and practice improvement
• Develop robust data and LLM-based enrichment processes
• Stay updated with current research to meet customer needs

This role comes with the following benefits:

• Employee Share Options Program
• Personal and professional development coaching
• Mental wellbeing and coaching support
• Monthly Camper Life Allowance
• Team building activities and connection budgets
• Quarterly wellbeing pauses
• Extended year-end breaks
• Parental leave and support programs
• Social Impact Days annually
• MacBooks and home office budget
• Medical insurance coverage in the US & UK

This role requires you to have:

• Experience leading a team in data asset delivery
• Deep experience with SQL and Python, especially in data science
• Understanding of statistical and machine learning models
• Experience with enterprise databases like Redshift or Postgres
• Establishing scalable and reliable data pipelines

You would benefit from having:

• Experience with data visualization tools such as Plotly or Seaborn
• Exposure to data modeling tools like Metaflow or Airflow
• Familiarity with software practices like version control

Culture Amp is committed to diversity, equity, and inclusion, with resource groups and ally communities. The company emphasizes anti-racism and encourages all candidates to apply, even if they do not meet every requirement. They offer reasonable accommodations for applicants with disabilities.