As a Senior Python Engineer specializing in AI/ML, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage. You'll collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative Python- or Go-based solutions.

The Data Scientist will be primarily embedded within Wealthfront’s Marketing team where they will design and execute targeted advertising campaigns for Wealthfront products, with projects including campaign performance analysis, incrementality estimation, client segmentation, and AB Experiment design. A key desired trait for this role is an advanced ability to reduce business problems to mathematical language.

As the Data & Analytics Technical Lead, you will oversee and manage data and analytics tracks and programs from design to delivery, ensuring that they align with client needs and objectives. This role involves leading a team of data and analytics professionals, mentoring them to foster high performance, and developing strategic data and analytics solutions using Salesforce's tools.

Lead a team designing, building, and scaling the data infrastructure that powers analytics and data-driven decision-making across the company, ensuring data governance, compliance, and security. This role requires a strategic mindset and deep technical understanding of data engineering.

Design and implement our enterprise data platform, a cornerstone of our data strategy. As Senior Data Architect you'll be responsible for creating the technical foundation that supports our machine learning experiments, agentic AI workflows, and curated data sets using Databricks as our core technology platform to build scalable, efficient data architecture.

Lead a small but high-impact team of data scientists, collaborating with Product, Marketing, and Sales to understand our clients and develop data-driven systems that enhance their experience. Design and execute experiments to uncover client preferences and inform product strategy.

Embark on an exciting journey into software development! As a Data Engineer, you'll be crucial, actively contributing to projects that reshape data analytics for clients, providing them a competitive edge. Responsibilities include writing code, implementing solutions, building ETL processes, ensuring data quality, and debugging to fix defects.

Gummicube, a division of Airship, is looking for a Data Analyst. You'll lead cross-functional projects, build data models, and communicate findings to clients. You will also create dashboards and develop data collection systems to measure campaign performances. The role requires strong analytical and communication skills, as well as proficiency in data visualization software and Excel.

Develop scalable and efficient data pipelines to support analytics needs across the organization. Improve the performance, observability, and reliability of existing data systems. Collaborate with other teams to understand data needs and implement solutions that improve efficiency. Ensure system security and data privacy compliance.

The Clickhouse team is responsible for the Clickhouse cluster and query layer that all other teams (and all customers) use to store and query data. Responsibilities include developing tooling for backup and restore, creating schema management tools, enhancing visibility into cluster statuses, and automating dynamic provisioning.