As a Data Scientist II (Risk Adjustment Analytics) you will work with business teams, clinical staff, and data colleagues to help develop data pipelines, models, reports and analytics that will shape our Risk Adjustment processes. The Risk Adjustment Analytics Data Science team is responsible for accurately modeling the health status and clinical risk of members.

Be part of the Data & Integration team, empowering the company to make data-driven decisions by providing reliable, accessible data and tools. Transform data into valuable insights that drive business decisions by collecting, processing, analyzing, and visualizing data from various sources to identify trends, patterns, and anomalies.

Support AI product development through data analysis, predictive model building, and insight extraction, while collaborating with AI engineers and working with real-world datasets to improve business decision making by implementing machine learning techniques on internal/external projects and following MLOps practices in software development.

The Sr. Data Engineer will be implementing new data integrations, semantic layer modeling and implementation to reduce system inefficiencies and help with initiatives on platform and data governance. They are needed to create a cost-effective platform structure, stability and performance at scale.

Communicate compelling actionable insights from data analysis and present them on a recurring basis both internally and externally to our ecosystem. Develop strategies for effective data analysis and reporting. Build and automate performance dashboards, including leading and maintaining the one at explorer.near.org/stats.

As a Quant UX Researcher on the EarnIn Product team, you will define and measure how our customers are making use of EarnIn’s financial services platform and discover important unmet financial needs Earnin might serve in the future through large-scale conversations using tools like surveys. You will scope and define new analysis and outcomes to inform product development.

We are seeking a data science specialist to drive innovation, explore new techniques, and implement machine learning algorithms to solve complex business problems, requiring motivation and resilience.

Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs. Responsible for milestone setting from a data science perspective. Develop research questions and undertake data exploration to understand who our product users are. Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables.

The Data Science Team at Reddit is looking for an experienced Data Science Manager to lead a team of talented data scientists to drive and optimize user growth by uncovering insights and driving strategic initiatives. This role will collaborate closely with cross-functional partners (Product, Engineering, Design, Marketing) to build and improve the systems that continuously drive our user growth.

We are looking for an Ecological Data Scientist to support our work in analyzing soil microbiome data, forest productivity, and experimental results. This role will focus on data analysis, model implementation, and pipeline execution, helping scale our ability to process and interpret ecological and genomic data. You will work closely with the data science team to contribute to Funga’s mission.