We're looking for a Data Scientist to join our Data Science and Credit Solutions Center, working on the development of advanced analytical models and machine learning. The professional will be responsible for working on strategic initiatives, ensuring not only the accuracy and efficiency of the models, but also the operationalization of these solutions in a productive environment, collaborating with business, technology and data engineering areas to transform data into high-impact decisions.

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.

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.

The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

Work in an interdisciplinary team to study clinical and molecular profiles in cancer to learn new insights into our data. The successful candidate will carry out data analysis, and apply best-in-class cBio and AI algorithms - or develop new algorithms that directly address important biological and clinical questions.

Make a significant impact by supporting Flex for Good with cutting-edge data science and machine learning solutions. Design and deploy advanced statistical and machine learning models to identify renters at risk of eviction, optimize resource allocation, and measure program outcomes. Collaborate with cross-functional teams to solve high-impact challenges.

Proactively identify key business, product, and research questions that will shape our understanding of media and advertising. You'll design and implement analytical frameworks, deliver impactful insights, and produce high-quality research documentation.

Transform raw data into actionable insights as a Data Scientist. Develop and deploy machine learning models, analyze large datasets, and collaborate with engineering and product teams to implement data-driven solutions. The ideal candidate has a strong analytical mindset and experience with machine learning models.

As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on the user experience. You'll serve as a “tech lead of tech leads”, influencing the direction of multiple ML projects within this domain.

Our data scientists are responsible for the entire machine learning model development process from conception with stakeholders, creation of model pipelines, technical development, deployment, and partnership with the credit, product, and finance teams to make business decisions to grow user base and increase retention.