As Head of Data and Analytics, you'll develop and execute the organizational strategy for a centralized team. Your responsibilities include driving enterprise analytics, ensuring high-quality insights, and collaborating with various teams to deliver accurate insights that enhance ability to scale and elevate solutions.

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.

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.

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.

As Data Scientist, Finance you’ll play a key role in helping our finance team, executives and GTM teams grow our business by upleveling financial forecasts and building models with your ML and Python expertise. You will evolve core financial analyses and build insightful dashboards to track performance, delivering insights to the whole company.

Leverage your analytical skills to identify patterns, trends, and insights in large data sets. Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models. Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values.

At the forefront of our AI and Machine Learning innovation! You'll design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. Passionate about using AI to solve real-world problems at scale.

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.

Participate in innovative research, apply scientific knowledge to analyze data, identify problems, devise solutions and construct methodologies, and conduct experiments. Work in collaboration with other scientists, engineers, product managers, designers, user researchers, and analysts across Spotify to design creative solutions. Maintain a research profile through external engagement.

This is a unique opportunity to help build robust and scalable systems that handle data workloads at Haus. The ideal candidate is an accomplished engineering leader and an excellent communicator, who has deep experience with scalable distributed systems, and is well-versed with data systems/workflows. The role involves driving engineering execution, crafting the team’s vision, and collaborating with other teams.