Design, build, and deploy machine learning models for cybersecurity use cases like threat detection and risk scoring.
Own the full model lifecycle from data preparation to production deployment, working closely with engineering and product teams.
Build preprocessing and feature engineering pipelines, and monitor model performance with continuous improvement.
SpyCloud transforms recaptured darknet data to disrupt cybercrime. With over 250 employees, it is home to cybersecurity experts protecting businesses and consumers from stolen identity data.
Drive implementation of Plus Power's AI operating model by building organizational capability and enabling responsible AI adoption across the business.
Partner with cross-functional leaders to assess, prioritize, and implement AI opportunities that deliver meaningful business impact and operational fit.
Design, develop, and support AI-enabled workflows such as copilots and agents, facilitating the transition from experimentation to scaled implementation.
Plus Power is an energy storage market leader with a 10+ GW portfolio across more than 25 states, transforming North American electric grids into cleaner, more versatile infrastructure. The company is growing fast, with a culture that values high expectations, radical transparency, and collaborative problem-solving to solve hard climate problems profitably.
Complete structured learning plans covering AI, machine learning, data engineering, cloud platforms, and software development fundamentals.
Participate in hands-on labs, guided exercises, and practical projects to build a strong technical foundation, including pair programming and AI solution-building.
Pursue industry certifications and develop proficiency with leading AI tools, LLMs, and cloud services while applying responsible AI and security best practices.
Simple Technology Solutions provides exceptional IT solutions to Federal Government clients, prioritizing employee well-being and flexibility. Recognized as a 'Best Place to Work,' our culture emphasizes collaboration, continuous learning, and mentorship, fostering innovation and growth.
Perform foundational data preparation and cleansing, execute routine analytical models, and assist with validating data.
Develop and maintain scripts to automate data processing, write SQL queries, and support automation efforts.
Create basic dashboards and visualizations, support reporting, and collaborate with the Senior Analyst.
SteerBridge is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Their culture emphasizes veterans and mission success, cultivating talent and creating meaningful career pathways.
Own the queries and data logic behind monthly close, tax, and regulatory reporting across all markets.
Ensure every report is traceable end-to-end and documented to an audit-ready standard for external auditors.
Partner with Analytics Engineering to migrate reporting onto governed, version-controlled infrastructure.
Tala is an AI-native credit infrastructure company that provides credit access to the global majority. Backed by over $500 million in funding, they have distributed more than $7 billion in capital to over 13 million customers across Africa, Latin America, and Asia, and they operate with a remote-first culture with offices in multiple countries.
Apply advanced computational biology and AI approaches to integrate multiomics datasets for therapeutic discovery.
Collaborate with cross-functional teams to translate complex findings into actionable scientific strategies.
Continuously evaluate emerging computational methods and biological datasets to accelerate innovation.
This biotechnology company advances transformative therapies for rare genetic diseases through data-driven science. It fosters a collaborative, patient-centered culture with a focus on innovation and scientific excellence.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and women's health datasets.
Develop and deploy advanced AI/ML models to extract actionable clinical insights from multimodal real-world data.
Integrate genomics data with clinical data and manage large-scale datasets to support RWE studies.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions who care deeply for their work and each other.
Leverage advanced machine learning techniques, including LLMs, to understand customer problems and enhance support experiences.
Develop and deploy deep learning and graph-based models to optimize customer routing and automate resolution at scale.
Work within product squads alongside data scientists, engineers, and operations specialists to drive measurable business impact.
Monzo is on a mission to make money work for everyone, offering personal and business bank accounts, savings, investments, and pensions with innovative features like a hot coral card and get-paid-early. With a history of over 10 years in the UK, we prioritize financial education and award-winning customer service, fostering a diverse and inclusive culture for our growing team.