Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Create high-quality instructional materials that teach modern data annotation and labeling workflows.
Develop content across modalities translating real-world annotation tasks into clear, engaging, job-relevant learning experiences.
Produce session plans, hands-on practice, examples, and assessments aligned to defined learning outcomes.
Correlation One develops workforce skills for the AI economy. Their global programs empower underrepresented communities and accelerate careers. They partner with top employers, including Amazon and Coca-Cola, to make it a reality, and skills training programs are 100% free for learners and are delivered virtually by industry experts.
Build, improve, and maintain production-grade data science models.
Enhance the accuracy, robustness, and scalability of MMM pipelines.
Design and implement optimization algorithms within our data products.
Northbeam is building an advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data. It is experiencing rapid growth with a team of driven, collaborative, and talented individuals who value personal growth and excellence.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
Ideate, develop and improve machine learning and statistical models.
Develop contextualized feature sets using sports specific domain knowledge.
Constantly improve model performance using insights from experimentation.
Swish Analytics is a sports analytics, betting, and fantasy startup that is building the next generation of predictive sports analytics data products. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.
Explore data and real-world cases to develop signals and machine learning models that identify and reduce platform risk.
Partner with cross-functional teams to design practical ML solutions that fit real workflows.
Prototype, train, and iterate on machine learning models, using a mix of established and novel techniques.
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. They aim to fund the creative class and have generated over $10 billion for creators with millions of memberships.
Transform raw data into actionable insights that drive business strategy and product development.
Define a compelling data strategy and roadmap for the department, aligning data initiatives directly with company OKRs and business needs.
Nabis is the #1 Licensed Cannabis Wholesale Platform, connecting brands and retailers across California, New York, and Nevada. They are backed by Y Combinator and visionary investors and aim to redefine cannabis distribution through innovation and efficiency.
Build and improve AI chatbots and virtual agents using real conversational data.
Clean, prepare, and analyze text data for NLP and ML models.
Evaluate model performance and propose improvements.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation. They support digital transformation for some of the world's largest enterprises and retain nearly 1000 full-time professionals with an annual growth rate exceeding 25%.
Support analytical projects to identify business opportunities and develop solutions.
Use data, statistical models, and machine learning techniques.
Collaborate with software engineers, data analysts, and product leaders.
Mercury is committed to helping people reduce risk and overcome unexpected events. They are guided by the purpose to help others, encourage growth, and work together to create great things.
Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
Lead discussions, present findings, and make recommendations to colleagues and management.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.