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.
Build machine learning models for classification and information extraction in healthcare.
Analyze complex healthcare data to improve existing models and implement new solutions.
Collaborate with engineering to deploy ML models into production and explore LLM solutions.
Reveleer provides a unified platform for risk adjustment, quality improvement, and clinical intelligence in value-based care. Trusted by 80+ health plans and provider organizations, it integrates data, analytics, and AI-driven automation with a focus on transparency and human oversight.
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.
Build and deploy production-ready ML solutions using classical ML and statistical methods.
Own ML projects end-to-end from data pipelines and modelling to deployment and monitoring.
Work with engineers and product managers to turn business problems into practical ML and GenAI solutions.
Sport Alliance develops software solutions for fitness businesses, powering products like Magicline and PerfectGym Next used by thousands of gyms and millions of members. You'll join a collaborative team with flexible work arrangements and a focus on practical ML innovation.
Build and own training pipelines for ML models, including data prep, fine-tuning, and experiment tracking.
Develop inference and serving layer with model gateway, routing, caching, and cost optimization.
Own release path for model-layer artifacts with canary deployments and monitoring for regressions.
Horizon3 is a fast-growing cybersecurity company that provides autonomous pentesting through its NodeZero platform. The team is a fusion of former special operations cyber operators, startup engineers, and cybersecurity practitioners, fostering a culture of respect, collaboration, and ownership.
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.
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.
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.
Lead the Independent Agency Data Science team, overseeing Quote Efficiency models and emerging opportunities to enhance agent and customer experience.
Collaborate with cross-functional teams to design and deploy AI/ML solutions that improve sales and operational efficiency.
Manage and develop a team of 7-10 data scientists, setting goals and promoting growth and diverse perspectives.
Liberty Mutual is a global insurer providing property and casualty insurance. It employs tens of thousands globally and fosters an inclusive, supportive culture focused on employee well-being and professional development.
Build the foundations of the EdgeRunner Research organization, including data pipelines, model evaluation, and efficient parallelization.
Own codebases in areas like distributed training, quantization, compression, or compute cluster management.
Collaborate with a team of self-starters who operate independently and translate business objectives into technical solutions.
EdgeRunner AI builds state-of-the-art AI models for the tactical edge, enabling warfighters to make faster decisions and interact with robotic platforms. As a Series-A startup, we move quickly, fostering a culture of initiative, ownership, and comfort with ambiguity.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.
Develop pipelines and ETL tasks with product managers, data analysts, and machine learning engineers to extract insights.
Translate product requirements into actionable project plans that you and your peers execute.
Establish data architecture processes that are scheduled, automated, replicated, and serve as standards for other teams.
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 meaningful impact, with a distributed team culture and over 500 private GitHub repositories.
Lead the team in roadmapping and executing machine learning features and products.
Improve team pace through technical expertise and pragmatic tradeoffs.
Drive recruiting, reliability, and growth of team members.
Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.
Lead deep investigations into revenue opportunities and production ML systems for personalization, experimentation, and automation.
Partner with Product, Engineering, and Data teams to integrate ML features and ensure their performance is measured.
Mentor data scientists and drive best practices for advanced analytics and ML development.
Life360 is a mobile app and device company helping families protect loved ones, pets, and valuables via location sharing and safety features. With over 102 million users and 500+ remote-first employees, its culture is mission-driven and AI-native.
Generate and implement machine learning models to solve complex communications challenges.
Identify opportunities to improve model performance and scalability.
Perform data analysis and feature engineering to enhance model accuracy.
Cultivate a collaborative environment by sharing insights and best practices with the team.
Contribute to the development of Twilio's AI-driven hiring and communications platforms.
Twilio is shaping the future of communications by delivering innovative solutions to hundreds of thousands of businesses and empowering millions of developers worldwide to craft personalized customer experiences. With a remote-first culture and strong emphasis on connection and global inclusion, Twilio values diverse experiences and encourages employees to bring something new to the table.
Lead end-to-end data science projects leveraging Azure Machine Learning, Databricks, and Power BI to extract insights from large datasets.
Build predictive models and develop complex algorithms, applying statistical and machine learning methods to solve complex business problems.
Act as a subject matter expert, delivering actionable guidance to stakeholders and collaborating with cross-functional teams to drive continuous improvement.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions and industry intelligence. Established in 2002, it is one of the largest US-based Microsoft solution partners and a multiple Microsoft Partner of the Year and Inc. Best Workplaces award winner.
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.
Analyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressions.
Understand and map complex data flows, processing pipelines, and dependencies across enterprise systems.
Propose simplification and optimization approaches while preserving detection quality and operational effectiveness.
Sigma Software is a global cybersecurity company delivering enterprise-grade security and risk mitigation solutions. They operate in a data-driven environment with large-scale signal processing and detection systems, working with experienced international teams in a fast-paced setting.
Lead the analytical strategy to improve member and provider experiences within Spring Practice, leveraging AI and predictive modeling.
Drive rapid experimentation with a focus on quasi-experimental methods, validate improvements, and provide clear recommendations.
Act as an embedded technical leader, partnering with product and design teams to define success metrics and ensure data-driven decision-making.
Spring Health is a global mental health company on a mission to eliminate every barrier to mental health, offering an AI-native platform for personalized care. The company reaches over 170 million people worldwide and fosters a culture of innovation, inclusivity, and data-driven collaboration.
Lead and mentor a team of software engineers building scalable machine learning infrastructure.
Define and own the multi-quarter technical strategy for data generation, orchestration, and distributed training.
Represent the Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure.
Latitude AI is building the future of Ford's autonomy roadmap, developing a fully in-house hands-free ADAS platform. As a Ford Motor Company subsidiary, it operates independently like a technology startup with engineering centers in Pittsburgh, Dearborn, and Palo Alto.