Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Develop and implement analytical techniques to transform raw data into actionable information.
Apply data mining, statistical analysis, and machine learning to analyze large datasets.
Create data visualizations and dashboards to communicate findings to stakeholders.
PingWind delivers outstanding services to the federal government, specializing in cybersecurity, development, IT infrastructure, and supply chain management. It is a certified Service-Disabled Veteran-Owned Small Business with offices in Washington DC and Northern Virginia.
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.
Define and build the data science strategy for a new pet health data business unit.
Analyze complex multi-source datasets to build predictive models and commercial insights.
Partner with cross-functional teams to develop monetizable data products and ensure data integrity.
Destination Pet is a national network of pet-obsessed professionals dedicated to elevating the love and lives of pet families through total pet care. They are launching a new PE-backed business unit to build a data platform for the pet health ecosystem, backed by an established platform with startup agility.
Develop, fine-tune, deploy, and monitor pretrained language models for healthcare applications
Work with messy unstructured EHR data, including clinical text and imaging, to generate real-world insights
Collaborate cross-functionally to translate clinical questions into data analytics requirements
Verana Health is a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network in ophthalmology, neurology, urology, and oncology. Backed by Johnson & Johnson Innovation and GV, the company recently raised $150 million in Series E and maintains a diverse, remote-friendly culture with offices in San Francisco, New York City, and Knoxville.
Help establish the UK data science team and shape its working norms and technical culture.
Lead the UK team as part of a distributed function, collaborating closely with US-based data scientists.
Partner with Finance, Marketing, and Operations leadership to translate business priorities into a team roadmap.
Hims & Hers is a leading health and wellness platform that provides accessible, affordable, and personal healthcare. The company is publicly traded on the NYSE and fosters a talent-first culture with flexible/remote work options.
Work with multidisciplinary teams to plan, conduct, and interpret business strategy activities that inform product direction.
Identify high-value opportunities where data, ML, and AI can create measurable business outcomes.
Develop data, AI, and technology transformation strategies, including capability maps and roadmaps.
Method is a global design and engineering consultancy that crafts practical, powerful digital experiences to transform businesses. We are part of GlobalLogic, a Hitachi Group Company, and foster a culture of curiosity, collaboration, and work/life balance.
Identify and implement AI/ML opportunities across products, including generative AI and LLM applications.
Build, evaluate, deploy, and maintain machine learning models in production.
Collaborate with product managers, engineers, and experts to translate business challenges into scalable ML solutions.
The company applies machine learning and AI to real-world business and product challenges. It fosters a collaborative, remote-first environment centered on technical learning, innovation, and professional development.
Design and optimize RAG solutions combining LLMs with enterprise knowledge stores.
Build AI knowledge architectures, reusable agents, and copilots for analytical workflows.
Collaborate with engineering teams to deploy AI capabilities across business applications.
This company provides AI-enabled analytics solutions for enterprise customers, leveraging generative AI, machine learning, and modern data platforms. It fosters a collaborative, cross-functional culture with career progression opportunities and exposure to emerging AI technologies.
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.