As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals. You will report to the Lead Data Scientist. The role involves researching, developing, and maintaining data pipelines, statistical/ML models, and/or advanced analyses.

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.

Develop and improve machine learning models for trade classification, entity classification, and entity resolution. Implement data preprocessing pipelines and feature engineering techniques. Evaluate model performance using appropriate metrics and validation techniques. Collaborate with data engineers to integrate ML models into production systems.

As a data analyst for the linguistics team you will be responsible for languages assigned to you based on fluency, fostering these languages and developing them for a multitude of products delivered to customers. Your job will be to build and maintain these languages per our Lightcast standards and help in the development of further features.

Analyze large and complex data sets using advanced statistical methods and machine learning techniques to uncover actionable insights to guide business strategies. Build and deploy machine learning models to predict customer behavior, optimize marketing campaigns, and improve product offerings. Collaborate with cross-functional teams to ensure that data insights are integrated across the organization.

You will work on designing, building, and optimizing systems that extract, enrich, and process metadata at scale as part of the ML Data Engineering team. You’ll collaborate closely with machine learning teams, product managers, and other engineers to ensure the smooth integration and processing of vast amounts of structured metadata.

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.

Experienced AI Architect / Lead to develop, deploy, fine-tuning large language models (LLMs). Focus on deploying scalable AI solutions that drive business value. Fine-tune and adapt pre-trained large language models (LLMs) for specific use cases to enhance performance and relevance.