As the Product Analytics Lead at Vanta, you will lay the foundation for a best-in-class Business analytics function. You’ll partner closely with our business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. You'll define the analytics practice for our Product Analytics efforts.

As a Data Scientist, you will work closely with internal teams and external stakeholders to understand their challenges and deliver data-driven solutions. You'll analyze data, deploy machine learning models, and collaborate with teams to convert data into actionable strategies, influencing real-world decisions and optimizing business practices.

You will work with an ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.

You will play a crucial role in developing the team’s visualization capability, design end to end reporting solution sufficing business needs, build data models sourcing data from various data sources, implement writeback capabilities in the reporting tool leveraging various automation tools, leverage technology to automate manual tasks and reporting needs.

The Data Scientist will be embedded within Wealthfront’s Investing area, enabling clients to confidently grow, preserve, and manage their wealth. Responsibilities include formulating project plans, employing mathematical rigor, collaborating with stakeholders, interpreting statistical results, and automating repetitive manual work.

The Product Engineer Role is a critical contributor to the design, development, optimization,automation, and maintenance of our core data platform and analytical solutions, with a strong focus on leveraging GCP services. The Product Engineer will work closely with data analysts, clinicians, and other engineers to understand their data needs and translate them into robust, scalable data pipelines.

Drive the development and implementation of cutting-edge machine learning algorithms and train sophisticated models; collaborate with product, engineering, and analytics teams to build AI functionalities into Atlassian products and services; design system and model architectures.

We are looking for a Data Ops Engineer-1 to help our customers explore their healthcare data, understand how to improve the health of the population and bring down the cost of healthcare. Responsibilities include creating customer facing documentation, removing ambiguity by documenting things, and converting tacit knowledge to implicit knowledge.

Build high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. As a Senior Data Engineer, you’ll design, develop, and test robust, scalable data platform components. You’ll work with product engineers to understand their data pipeline needs and come up with innovative solutions.

This internship at PrizePicks offers students the opportunity to work with the data science team on complex sports modeling problems, contributing to model development while researching innovative approaches to fantasy sports challenges. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics.