Data Scientist

• Lead the overall data strategy for the company, aligning data initiatives with business goals and product priorities.
• Manage a small team of data engineers, analysts, and data scientists, fostering collaboration and continuous improvement.
• Define and implement a data governance framework, including policies for data ownership, stewardship, lineage, and quality.
• Partner with business, product, and engineering teams to translate analytical needs into data models, infrastructure, and workflows.
• Serve as the data domain expert, advising executives on emerging trends in data science, AI, and analytics.
• Design and oversee enterprise-wide data models and schemas that ensure consistency and reusability across systems.
• Collaborate with the Data Engineer to implement scalable pipelines, integrations, and APIs supporting analytical and operational use cases.
• Define standards for data cataloging, documentation, and lineage tracking, ensuring transparency and accessibility.
• Partner with business teams to translate data into insights, empowering decision-making across functions.
• Establish best practices for analytics and model development, including experimentation frameworks and performance monitoring.
• Evaluate and recommend machine learning and AI opportunities that enhance business value.
• Develop KPIs and dashboards to measure data quality, usage, and organizational impact.

Data Science Lead

Junior Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist