Data Scientist

We’re looking for an experienced Data Scientist to support our AI/ML-powered pricing engine. This role sits between data engineering and business analytics, building scalable data models, pricing insights, and analytics solutions that drive data-informed pricing decisions.

Key Responsibilities

• Design and build analytical data models and ELT pipelines using Databricks, PySpark, and SQL
• Develop pricing analytics including elasticity, competitive pricing, margin optimization, and recommendation outputs
• Create Tableau dashboards and enable self-service analytics for business stakeholders
• Orchestrate and monitor pipelines using Apache Airflow; ensure data quality, reliability, and performance
• Collaborate with data scientists to productionalize ML models via Amazon SageMaker
• Optimize queries and data processing for large-scale datasets
• Partner with product, pricing, and business teams to deliver actionable insights
• Document data models, logic, and best practices in Confluence

Required Qualifications

• 7–10 years of experience in analytics engineering, BI, or data analytics
• Strong SQL and dimensional data modeling expertise
• Advanced Python/PySpark and Databricks experience (Delta Lake, Spark SQL)
• Proven Tableau dashboard development experience
• Hands-on experience with Airflow and AWS (S3, Lambda, SageMaker)
• Knowledge of pricing analytics and revenue optimization concepts
• Experience with Denodo or similar data virtualization tools
• Strong communication skills and ability to translate business needs into analytics solutions
• Bachelor’s degree required; Master’s and relevant certifications preferred