You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
You can deploy and iterate ML and NLP solutions in production environments, with working knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development.
You write production-grade code in Python or a comparable high-level language.
Design models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
Turquoise Health aims to make healthcare pricing simpler, more transparent, and lower cost. They are a Series B startup backed by top VCs with an accomplished group of folks with a passion for improving healthcare.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
Yelp's mission is connecting people with great local businesses, requiring the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI). Their engineering culture values individual authenticity and encourages creative solutions, supporting growth in a collaborative environment.
Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs.
Create, debug, interpret and improve production machine learning and natural language processing models.
Build the tools and validation processes that help Counterpart translate insights into action at scale.
Counterpart Health transforms healthcare and improves patient care with its innovative primary care tool, Counterpart Assistant. They are a subsidiary of Clover Health, with an exceptional team of value-based care and technology experts, driving value-based care at the speed of software.
Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Design and deploy state-of-the-art models to extract structured knowledge.
Fine-tune Large Language Models (LLMs) and Small Language Models (SLMs) with domain-specific context.
Collaborate with data infrastructure engineers to architect a scalable platform.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
Design, build, and maintain data products that support R&D, analytics, Lab, and scientific workflows.
Build and maintain data pipelines for large and complex datasets ensuring high data quality.
Partner with scientists and engineers to translate research needs into reusable data assets.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. They aim to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.
Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines.
Lead the design and development of advanced ML/NLP products, from ideation to production.
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design.
SmartRecruiters is the Recruiting AI Company that transforms hiring for the world’s leading enterprises. Built for global scale, SmartRecruiters, an SAP company, delivers an AI-powered hiring platform that automates and optimizes the entire talent acquisition process. They are a values-driven, globally focused tech company with strong financial backing and a bold vision for the future of work and foster a collaborative and inclusive work environment.
Proactively identify valuable areas of investigation that help deepen our understanding of our members, writers, and overall business. Medium is awesome, this is all AI generated, okay?
Partner with diverse technical and non-technical stakeholders across the company to develop hypotheses and generate actionable insights in their domains.
Build and maintain statistical and predictive models about Medium’s business.
Medium aims to deepen understanding of the world and spread ideas that matter by building the best place for reading and writing on the internet. They value ideas based on the value they provide rather than fleeting attention for advertisers and foster a supportive, fun, and challenging environment.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and invest in people and new advanced technologies to unlock the power of data.
Manage and guide data teams to execute on enterprise data strategy.
Provide technical guidance and mentor team members on data technologies.
Design end-to-end data processing for enterprise data warehousing.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Be a data visionary, anticipating future data needs
Influence AI model training through high-quality data
Own data end-to-end: sourcing, structuring, scaling
Tavus is building the human layer of AI to make human-AI interaction as natural as face-to-face interaction. They are a Series A company backed by top investors, including Sequoia, Y Combinator, and Scale VC, fostering a collaborative team culture.
Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement.
Develop, train, and optimize models used in a real-time or near-real-time bidding and decisioning system.
Work with stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions.
Healthcare.com is a fast-growing insurtech company revolutionizing how consumers shop for health insurance. They leverage advanced technology and data science, developing customized proprietary products to better fit consumer requirements and enhance customer satisfaction.