Data Scientist

• 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 we’re 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 that can benefit the company

Benefits

• Great equipment: New laptop, monitor, and stipend for desk accessories
• 401(k) Plan: Helping you save for the future
• Equity: Employee-friendly equity terms
• Health benefits: Top-tier health, dental, and vision insurance
• Paid meals: Company-paid lunch, dinner, and coffee during workdays
• Commuter benefits: Covering your commute costs
• Paid time off: Four weeks of paid time off
• Family leave; Sixteen weeks of parental leave
• Quarterly hack weeks: Take time to develop what you feel most passionately about

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

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