Data Scientist

Responsibilities

• Analyze our data (10TB) and help us answer data-driven questions
• Design, develop and deploy data models, algorithms, and tools to support data analysis and visualization
• Build and maintain a scalable data pipeline that collects, processes and stores data from various sources, ensuring data accuracy, reliability, and availability (currently based on DBT + Segment + Redshift)
• Collaborate with software engineers, data scientists, and product managers to ensure data-driven decision making across the organization
• Perform exploratory data analysis and statistical modeling to identify insights and trends that drive product and business decisions
• Develop and implement data quality and data governance standards to ensure data accuracy and consistency
• Work with stakeholders to understand their data needs and translate them into technical requirements
• Stay up-to-date with the latest technologies, trends, and best practices in data engineering, data science, and analytics, and recommend new solutions and approaches

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or related field
• At least 4 years of experience in data engineering, with a focus on building scalable data pipelines and data models
• Strong programming skills in SQL
• Experience with cloud platforms such as AWS, GCP, or Azure, and their respective data services (e.g., S3, Redshift, BigQuery)
• Experience with data visualization tools such as Tableau, Looker, or Power BI
• Strong problem-solving and analytical skills, with experience in statistical modeling
• Excellent communication skills and ability to work collaboratively with cross-functional teams
• Self-starter with the ability to work independently in a fast-paced startup environment

Compensation

• $160-200k base + substantial equity