As a commercial Data Analyst at Impiricus, you will play a vital role in driving data-informed decision-making across our commercial operations, be responsible for analyzing campaign performance, supporting client-facing teams with actionable insights, and managing target list development which combines analytical expertise with business acumen to deliver valuable insights that enhance our client relationships and drive business growth.
Seeking an AI Researcher who will help translate the latest machine learning research into practical, domain-specific proofs of concept (POCs). Working on the CivCheck platform, you will be at the forefront of building and experimenting with cutting-edge models across computer vision, large language models (LLMs), multi-modal learning, and agentic AI workflows.
As a staff data scientist, you’ll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You’ll help grow ClassDojo to our next major milestones while deepening love for our brand. You'll shape the company’s strategic direction and tackle a broad range of product and business problems, uncovering unique user insights and identifying and testing critical product improvements.
As the Leader of our Data as a Product (DaaP) initiative within the Enterprise Analytics team, you will be a pivotal change agent in our data transformation, spearheading the shift from traditional, centralized data management to a domain-oriented, data product-based approach. This role will evangelize DaaP concepts and operationalize a federated governance framework required to treat enterprise data as discoverable, trustworthy, and reusable assets.
In this role, you will analyze sales data, create insightful reports, and provide strategic recommendations to enhance sales performance and driving data-driven insights and initiatives to optimize sales performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills and the ability to communicate findings effectively are essential.
Care Delivery’s Capacity & Analytics team is responsible for care team capacity modeling, care team scheduling, data analysis & reporting, and workforce optimization. Omada is hiring a Senior Data Analyst to join Care Delivery’s Capacity & Analytics team to build and improve a capacity model, own analysis in support of care delivery initiatives, and define metrics and KPIs.
We are looking for a passionate Senior Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. You will parse and transform structured and unstructured datasets, build Python-based automation for the parsing platform, and bring order to dirty and/or unstructured data.
Staff Data Engineers are responsible for being interpersonal force multipliers across the organization, augmenting our internal capabilities to effectively manage and leverage client data effectively. Staff Data Engineers work closely with functional leadership and data solutions team members to understand common client business needs and requirements to identify and develop data engineering solutions to meet those needs.
This internship supports the Data Science team and offers hands-on experience in data science and statistical analysis within clinical or biomedical research settings. Interns will contribute to the development of machine learning models and assist in summarizing results and drafting manuscripts. You will have the opportunity to work closely with staff across departments and contribute to impactful research.
Looking for a passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment. If you like working with diverse data, collaborating with others, and seeing your models used in production, we’d love to meet you!