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 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.
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.
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.
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 with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and domain experts to translate business problems into data-driven solutions.
Design, build, and operate end-to-end data science and machine learning solutions, from initial problem definition to production and iteration.
Develop, evaluate, and improve statistical and machine-learning models, making well-reasoned trade-offs between model complexity, performance, scalability, and maintainability.
Redcare Pharmacy is Europe's leading online pharmacy, driven by dedicated teams and the latest innovations. They strive to create a pleasant and collaborative working environment where every employee feels comfortable and contributes to their vision: Until every human has their health.
Analyze and model data to optimize our Machine Learning (ML) systems.
Utilize Statistical and ML techniques for model training.
Deploy and test ML applications using our MLOps infrastructure.
Yassir is a Super App designed to make your life easier, with a mission to serve Africans and create economic opportunities while infusing social values. The company is growing fast and values ambition, transparency & trust, quality, and performance.
Lead the design, development, and deployment of production, multi-turn LLM-powered features.
Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use.
Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities.
Fullscript is a health technology company committed to helping people get better by creating a platform that powers every part of care. More than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements.
Act as a Strategic Thought Partner: Partner directly with Product Managers and other leaders to frame key business problems, define our measurement strategy, and guide product innovations.
Architect Marketplace Intelligence: Build and deploy sophisticated predictive models to refine Kindred’s matching algorithms, optimizing for growth, trust and liquidity.
Lead and Scale Experimentation: Own the end-to-end experimental framework, applying advanced causal inference to measure the ripple effects of product changes on community sentiment and marketplace health.
Kindred is a members-only home swapping platform that allows users to travel the world. Since launching in 2022, Kindred has grown to a global community of 300,000 members across 150+ cities and has raised over $150M in capital.
Contribute to applied machine learning and data initiatives that directly support product capabilities.
Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks.
Participate in prototyping AI-enabled product features such as recommendations, automation workflows, or predictive insights.
Pacvue helps brands and agencies succeed in retail media and commerce through intelligent systems. They are committed to employing a diverse workforce, valuing qualified applicants regardless of various backgrounds and identities.
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, build, and maintain production data pipelines using Python, Prefect, Airflow, Jenkins or any other orchestration framework multi-phase algorithmic workflows.
Build and optimize advanced SQL transformations in Snowflake, including window functions, CTEs, stored procedures, UDFs, and semi-structured data processing.
Build and maintain dbt models for data transformation, identity resolution, and slowly changing dimension (SCD Type 2) tracking across 80+ models and multiple pipeline stages.
Kalibri helps to redefine and rebuild the hotel industry. They are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo; their team is working on cutting-edge solutions for the industry.
Communicate with business stakeholders to understand goals and translate them into robust ML/AI models to improve clinical outcomes for children.
Work with Data Science and other cross functional teams to define requirements, optimize data collection, build data assets, and deliver insights on business strategy and patient care
Develop ML models incorporating clinical, claims, and social determinants of health (SDoH) data to drive actionable recommendations
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs. They deliver 24/7 virtual-first and in-home medical, behavioral, and social care, working alongside families, providers, and health plans.
Design, build, and maintain ML infrastructure across training, evaluation, serving, and monitoring
Own data pipelines including generation, cleaning, validation, and versioning
Build and improve experiment tracking, orchestration, and reproducibility tooling
Quilter is helping electrical engineers save time and accomplish more by automating the tedious and time-consuming task of designing printed circuit boards (PCBs). Their small team is composed of experts in electrical engineering, electromagnetic simulation, ML/AI, and high-performance computing (HPC).
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.
DuckDuckGo is an online protection company with a remote-first team of 300+ employees. Their mission is to raise the standard of trust online, and they have a culture of trust, inclusivity, and empowered project management.
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.
Extract, clean, and structure data from internal systems
Train, evaluate, and optimise models to improve accuracy and business impact
Continuously monitor and improve model performance
Smart Working believes your job should not only look right on paper but also feel right every day. They aim to break down geographic barriers and connect skilled professionals with global teams for full-time, long-term roles where your contributions are valued.
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 Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
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.