Lead a team applying advanced data science and AI to solve operational challenges in matching, scheduling, and capacity allocation.
Develop production models and decision-support systems to improve caregiver-client matching and service reliability.
Partner with Product, Engineering, and Operations to turn complex problems into measurable outcomes.
Honor Technology provides technology, tools, and services that empower older adults to live independently, including its consumer care brand Home Instead, Inc. With a global franchise network and over 100,000 Care Pros, Honor delivers over 50 million hours of personalized care annually and fosters a culture of innovation and compassion.
Conduct groundbreaking research in generative audio using diffusion or flow matching models, focusing on vocal synthesis, post-training, or editing.
Run large-scale experiments with access to Spotify’s extensive infrastructure and audience.
Collaborate with cross-functional teams to craft innovative solutions and publish findings at top conferences.
Spotify is a global music streaming platform with over 700 million monthly active users. We are an equal opportunity employer committed to inclusivity and innovation.
Collaborate with business leaders to translate high-impact business problems into data science and data analysis projects.
Develop and implement predictive models and machine learning algorithms for forecasting, customer segmentation, and optimization.
Perform exploratory data analysis and create compelling dashboards and reports for both technical and non-technical audiences.
Concurrent Technologies Corporation is an independent, nonprofit applied scientific research and development organization. It fosters a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission.
Partner with Product & Engineering to analyze product engagement and the full customer funnel, including acquisition, conversion, retention, and churn.
Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention optimization.
Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
Hone is an online medical clinic transforming healthcare and enhancing longevity using scientific advancements. Operating as a fully virtual and remote-first employer, the company values customer focus, execution, candid communication, collaboration, and joy.
Develop and improve AI solutions using state-of-the-art machine learning and LLM technologies.
Collaborate with data scientists, product owners, and developers throughout the data-driven development process.
Apply software engineering best practices to build reliable code and conduct code reviews.
Wrike is a work management platform that helps teams collaborate and increase productivity. With over 1,000 employees across 10 global hubs, the company fosters a culture of innovation, collaboration, and customer focus.
Develop production-ready analytics that support smarter energy decisions, improve grid reliability, and accelerate the transition toward a more sustainable future.
Lead the design, development, and refinement of statistical and machine learning models for load forecasting, flexibility analysis, customer behavior modeling, and energy resource optimization.
Analyze large-scale datasets including smart meter data, customer information, grid attributes, and external factors to identify patterns and support strategic decision-making.
Our partner company offers the opportunity to apply advanced data science, machine learning, and AI techniques to solve complex challenges in the energy sector. You will work with one of the largest energy datasets available, combining large-scale meter data, weather information, geospatial context, and grid attributes.
Partner with Marketing, Sales, and CX leaders to diagnose challenges and drive growth strategies.
Develop ML solutions like targeting, segmentation, and LTV prediction to optimize acquisition and retention.
Mentor junior data scientists and drive best practices in experimentation and analytics.
Mercury Insurance helps people reduce risk and overcome unexpected events, serving customers for over 60 years. It is a mid-size company that values diverse perspectives and offers a supportive culture with growth opportunities.
Build and improve ML components across data, training, evaluation, and inference.
Implement evaluation and testing to understand model behavior.
Debug model issues, performance problems, and production incidents.
This company builds core ML components for large-scale production systems. They emphasize real-world learning, iteration, and collaboration with senior engineers.
Own end-to-end Machine Learning (ML) system execution including data pipelines, training, and deployment.
Fine-tune and adapt models using state-of-the-art methods like LoRA and DPO.
Architect scalable inference systems and collaborate closely with application engineering.
This company develops advanced production-grade machine learning systems. The team is small and high-trust, with a culture of ownership and pragmatism.
Perform data collection, evaluation, and annotation for AI training.
Conduct pairwise comparisons and counting tasks.
Tag and label objects across audio, video, images, or collected data.
RWS provides AI training data services. They are a global company with a focus on diversity, equity, and inclusion, offering flexible remote work opportunities.