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.
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.
Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies.
Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses.
Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV.
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most. Life360 has more than 500 (and growing!) remote-first employees and a mission driven culture.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
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 that invests in people and new advanced technologies to unlock the power of data.
Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
Lead the charge in improving our quantitative analysis techniques to better influence audiences on strategic direction, with opportunities to present these insights to leadership.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. They work with more than 1,000 leading merchant partners across industries and is backed by prominent technology investors.
Develop and iterate on fraud prediction models using a mix of approaches for tabular and behavioral data.
Build and scale feature pipelines and training datasets from proprietary and third-party signals.
Prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They appear to be a remote-first company.
Interpret lift measurement test results quickly, and codify internal understanding by educating and consulting GTM stakeholders on the results.
Own high-priority measurement conversations with merchant and issuer partners, translating complex results into clear, credible external narratives tailored to the audience.
Serve as GTM's trusted advisor on ambiguous, data-intensive customer questions, engaging engaging clearly and credibly with our sophisticated and highly analytical marketing clients.
Kard is transforming customer loyalty with their rewards-as-a-service API platform, empowering partners to offer tailored rewards. They are backed by $30M from industry-leading investors and seasoned experts, reshaping the future of customer engagement.
Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding.
Lead projects from ideation → modeling → experimentation → production → iteration.
Design and improve recommender systems and ranking models across surfaces (feed, search, notifications).
Reddit is a community of communities that's built on shared interests, passion, and trust. It is home to open and authentic conversations, with over 100,000 active communities and approximately 121 million daily active unique visitors.
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.
Build and scale high-throughput streaming pipelines.
Model and deliver high-quality, production-grade real estate datasets.
Strengthen data quality and observability.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, they are a Series C company on track to hit $100M in annual recurring revenue in the next six months. They are a global team ranked on the Inc. 5000 fastest-growing companies list three years in a row.
Lead data-driven product strategy initiatives supporting fraud detection and prevention systems
Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale
Define, track, and evaluate key metrics, including machine learning model performance and business impact
Maleda Tech is focused on protecting platform integrity by embedding measurement, experimentation, and insights into product defenses and user journeys. They are a global technology environment with a fraud & safety analytics team.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
Own Junction’s highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
Define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
Set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. They are backed by Creandum, Point Nine, 20VC, YC, and leading angels and working to solve making healthcare personalized, proactive, and affordable.
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.
Build and own data infrastructure, ensuring a solid foundation.
Analyze product usage and user behavior to identify patterns.
Build models that ship, including LLM-based systems and traditional ML.
G-P's SaaS-based Global Employment Platform enables clients to expand into over 180 countries. Their diverse, remote-first teams are essential to success, fostering innovation and valuing every contribution.
Partner with senior leaders to identify and prioritize high-value analytics opportunities.
Build statistical models, machine learning solutions, and AI-powered tools.
Lead development of advanced guest analytics: segmentation, lifetime value modeling, churn prediction, and personalization.
Alex Lee is a company that operates a portfolio of grocery retail and wholesale operating companies. They are seeking a Director of Advanced Analytics to build the enterprise analytics function from the ground up.
Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers.
Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling.
Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic.
Campminder provides digital transformation solutions to the summer camp industry. The company has 85+ employees and is known for its values-led culture and employee experience, having been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years.
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, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations
Work with messy, real-world data to identify signals, build features, and continuously improve model performance
Make practical tradeoffs between model performance, interpretability, and operational cost
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. River is growing quickly and has raised more than $50 million from leading investors.
Act as the primary liaison between Product Analytics and Data/BI teams, aligning on data needs and priorities.
Define data requirements and support event taxonomy design. Ensure data quality, consistency, and governance standards across datasets.
Define and oversee experimentation standards, ensuring statistical validity and consistency.
They are a cutting-edge e-commerce company developing products for their own technological platform. They hire top talent and let them do what they do best, striving to create a workplace that allows for an open, collaborative, and respectful culture.