Data Scientist
Data Scientist analyzes large datasets, builds scalable data pipelines using DBT, Segment, and Redshift, and drives product decisions through statistical modeling and visualization. Requires 4+ years experience, SQL proficiency, and cloud platform expertise.
About the job
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
Skills
SQL, dbt, Segment, Redshift, AWS, GCP, Azure, S3, BigQuery, Tableau, Looker, Power BI
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