Help users discover and master the Dataiku platform via training, office hours, and consultative support.
Analyze and investigate data and machine learning applications across various industries and use cases.
Mentor and educate data scientists and customer team members to aid in career development.
Dataiku is the enterprise orchestration layer for building, deploying, and governing AI. We are a global company with a culture of innovation, collaboration, and personal growth.
Develop machine learning algorithms for device identification using noisy, unlabeled data.
Design supervised, semi-supervised, and unsupervised ML approaches.
Own projects from research through deployment to real-time services.
This partner company develops a high-volume, real-time identification platform for browsers and devices. It prioritizes engineering excellence and data-driven decisions, with a globally distributed team of specialists.
Develop and deploy full-stack ML models for financial crime detection in transaction processing and onboarding.
Own the Dynamic Risk Score (DRS) system, scoring clients daily and driving quarantine and alert decisions.
Set up monitoring and champion-challenger frameworks to ensure best models are always in production.
Finom is a European tech startup developing an all-in-one financial B2B platform integrating banking, accounting, and invoicing. With over 300 employees and a start-up culture, they prioritize innovation, swift implementation, and employee empowerment.
Build and ship ML and GenAI systems from research to production.
Communicate technical concepts clearly to non-technical stakeholders.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Expel is a cybersecurity company that uses machine learning and generative AI to detect threats in customers' environments. They offer a small, highly transparent environment where your voice matters and decisions have direct impact.
Deliver novel and impactful insights for client organizations using machine learning and AI technologies.
Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians, trusted by over 85% of physicians and 300+ health systems. The company values curiosity, ownership, inclusion, and making a meaningful impact in healthcare.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Design and implement mathematical models to drive key product goals, including subscription prediction and article recommendations.
Lead hands-on analysis and modeling projects, choosing the right analytical method for each problem.
Develop data science pipelines in production and guide experiments to improve the product.
The Athletic is a sports media company that delivers comprehensive coverage of professional and college teams across North America and the English Premier League. With a newsroom of 500+ full-time staff, it provides in-depth storytelling and fosters a data-driven, collaborative culture.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Play a key role in creating both product and client-facing analytics and inform data team strategy.
Collaborate with product managers, analysts, and developers to define and lead data projects from ingestion to analysis to recommendations.
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Trusted by over 85% of U.S. physicians and 300+ health systems, they value curiosity, ownership, inclusion, and making a meaningful impact.
Analyze large-scale network telemetry to identify malicious behavior and anomalies.
Design and refine ML models for threat detection, including evaluation on imbalanced data.
Provide technical leadership and collaborate with engineers to ship production-ready models.
ExtraHop protects enterprises with Network Detection and Response, revealing cyber threats and network issues. A leader recognized by major analysts, it fosters a values-driven culture of integrity, innovation, and teamwork.
Develop and maintain machine-learning models across the full data science lifecycle.
Collaborate with ML engineers to deploy scalable supervised and unsupervised learning algorithms.
Design and run A/B tests to validate hypotheses and measure business impact.
The company operates in programmatic advertising, building machine-learning models that process terabytes of data and support billions of real-time advertising requests worldwide. It is a diverse, globally distributed team that values simplicity, collaboration, and practical impact.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Design and implement machine learning algorithms and statistical models to analyze large, complex datasets and extract actionable insights.
Develop and maintain data pipelines, predictive models, and advanced visualization tools to support client services and product enhancement.
Collaborate with cross-functional teams to translate business requirements into analytical frameworks and mentor junior data scientists.
Cotality is a property intelligence company that provides data, analytics, and technology solutions to drive the real estate economy. With 5,000 employees globally, Cotality fosters a diverse and inclusive culture that encourages innovation, bold thinking, and collaboration.
Build and operate reliable data infrastructure supporting marketing, payments, and product analytics.
Design and maintain data pipelines using Databricks and Apache Airflow to ensure accurate and timely reporting.
Collaborate with cross-functional teams to translate business needs into scalable data solutions.
Our partner company builds digital products for the mobile app industry, focusing on data-driven marketing and analytics. They offer a collaborative, international environment with a remote-first culture and emphasize continuous learning and professional growth.