Develop and evolve predictive credit intelligence using machine learning and statistical techniques.
Own end-to-end Data Science projects from problem definition through deployment and monitoring.
Collaborate with cross-functional teams to translate analytical insights into effective credit strategies.
Our partner is a company focused on building predictive intelligence for credit products. They operate in a collaborative, autonomous, and flexible environment with a strong focus on employee development and wellbeing.
Design, build, and operate data products that transform raw data into customer-facing insights.
Develop large-scale ETL/ELT pipelines using Apache Spark and PySpark, with workflow orchestration via Airflow or AWS Step Functions.
Work across AWS and GCP infrastructure, incorporating AI-assisted search and LLM-powered features in production.
The partner company builds data-driven intelligence products from unstructured social and public data. It operates with a remote-first, async-friendly culture that emphasizes high autonomy and low bureaucracy.
Build and operate reliable data infrastructure supporting marketing, payments, and product analytics.
Design and maintain data pipelines using Databricks and Apache Airflow to ensure accurate and timely reporting.
Collaborate with cross-functional teams to translate business needs into scalable data solutions.
Our partner company builds digital products for the mobile app industry, focusing on data-driven marketing and analytics. They offer a collaborative, international environment with a remote-first culture and emphasize continuous learning and professional growth.
Partner with the Business Unit Lead to identify gaps in decisioning performance and implement solutions.
Build production machine learning models to identify fraud in collaboration with other data scientists.
Communicate complex ideas to a variety of audiences, from Customer Success to Sales.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with customers. Their advanced technology creates frictionless shopping experiences, and they are trusted by thousands of merchants across over 100 countries.
Apply machine learning and AI to analyze large datasets and improve user experiences for new and returning users.
Lead data projects, providing insights and recommendations for data-driven decisions that drive recommendation systems.
Collaborate with cross-functional teams to build pipelines, tools, and evaluate experimental designs for business impact.
Tubi is a free streaming service that offers Hollywood movies, TV shows, and original content, entertaining over 100 million monthly active users. Headquartered in San Francisco and founded in 2014, it is part of Tubi Media Group, a division of Fox Corporation, with a culture focused on innovation and inclusivity.
Design, develop, validate, and evolve analytical and predictive models for pattern detection, anomaly identification, and risk classification.
Operationalize AI solutions for automation of recurring analyses, detection of deviations, and evaluation of large volumes of structured and unstructured data.
Participate in the full model lifecycle from data exploration to deployment, monitoring, and evolution in production environments.
CI&T helps large companies transform AI potential into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, they foster a culture of continuous learning and innovation.
Build cutting-edge technology using deep learning and machine learning to personalize Pinterest.
Partner with teams to improve ML models for product surfaces like Homefeed and Search.
Use data-driven methods to improve content recommendation and ads delivery.
Pinterest is a platform where millions of people find creative ideas and plan for memories. The company is mission-driven, focusing on innovation and inclusion, with a large and diverse user base.
Translate digital event data (web/app) into user behavior models;
Develop exploratory and advanced analyses to identify patterns, journeys, and friction points;
Design and scale machine learning and AI models for behavior and personalization.
CI&T helps large companies transform the potential of AI into real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across 25 countries, we foster a collaborative culture that prioritizes inclusion and well-being.
Enable efficient data access by creating and maintaining data pipelines.
Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process.
Identify, design and implement improvements to optimize data delivery and automate manual processes.
Eneba is building an open, safe, and sustainable marketplace for gamers, supporting over 20 million active users. They are a fast-growing company that values data-driven decision-making and fosters a healthy data culture across the organization.
Design, build, and improve a scalable data platform to provide data solutions for product teams.
Develop and manage automated data pipelines using cloud-based and on-premise technologies.
Ensure data quality, lineage, and observability across the stack while collaborating with product and business teams.
lemlist is a bootstrapped sales engagement platform that grew from $0 to $57M ARR in 8 years. It is a profitable B2B SaaS company trusted by 40,000+ sales teams worldwide.
Design, build, and maintain data pipelines, ETL/ELT processes, and API integrations.
Develop and maintain dashboards, reports, and data models using Power BI, GoodData, and Databricks.
Work with stakeholders to translate business requirements into reliable, accurate analytics solutions.
Dijital Team is a technology company that delivers data engineering, analytics, and business intelligence solutions for clients. We foster a collaborative and flexible culture with remote work, team events, and a strong focus on employee well-being and continuous learning.
Own the full data science engine for a priority vertical, driving measurable revenue and media efficiency.
Focus on Insurance and Advertiser Quality, with scope broadening over time, primary metric is ROAS.
Establish trusted partnership with stakeholders and identify net-new modeling opportunities.
We are a discovery and conversion company reaching tens of millions of people monthly through our brands. We are profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries.
Define the technical roadmap for Growth and Engagement ML systems, ensuring scalability and business impact.
Architect and deploy production-grade ML pipelines and real-time decisioning systems for personalization and onboarding.
Mentor senior engineers and collaborate with Product, Data Science, and Marketing leadership to drive core metrics.
Phantom is on a mission to connect the world to the freedom of open markets, providing access to global markets that never close. With around 180 fully remote employees and backed by a $150M Series C investment from a16z, Sequoia Capital, and Paradigm, we foster a culture of innovation and inclusivity.
Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
Train, fine-tune, evaluate, and optimize large language models using techniques such as SFT, distillation, and LoRA.
Spotify is a leading audio streaming platform that connects listeners with music and podcasts. The company has thousands of employees worldwide and fosters a culture of inclusivity, creativity, and forward-thinking.
Own data products end-to-end, driving success through accuracy, client value, and efficiency.
Work with massive datasets to answer key client questions and develop deep expertise in proprietary methods.
Use AI and tooling to drive leverage, automating workflows and validating AI-generated outputs.
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance and market trends. With offices in the US, APAC, and India, the company is recognized as a Best Workplace for three consecutive years, fostering a culture of transparency, ownership, and continuous learning.
Manage platform data and technology to ensure optimal performance and scalability.
Orchestrate ETL processes and architect event-driven data solutions for efficient data consumption.
Promote data quality, observability, and cost optimization while enabling domain data integration and API management.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience, they have 8,000 employees across 25 countries, fostering a culture of continuous innovation and AI-driven work.
Collaborates with researchers and cross-functional teams to design and deliver scalable data solutions on Azure Fabric.
Develops and maintains data pipelines, ETL/ELT processes, and ensures data quality and HIPAA compliance.
Evaluates emerging technologies and creates technical documentation for complex datasets and workflows.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community, offering a collaborative and inclusive culture.
Design, develop and deploy machine learning and statistical models that forecast customer cash flows, credit risk and other business metrics.
Use experimentation and statistical methods to test product, pricing and underwriting changes to improve customer experience.
Monitor models in production, investigate performance issues, and retrain or update models in collaboration with engineering and product teams.
Pipe is a financial technology company that provides a platform for businesses to access capital by selling their future cash flows. The company is fully remote, with a culture of authenticity, humility, and excellence, and offers competitive benefits including flexible vacation and generous parental leave.
Lead and build a Marketing Data Science team, setting strategy and roadmap for MMM, geo-testing, and incrementality models.
Design and execute statistical analyses to quantify marketing ROI and deliver actionable insights for business objectives.
Collaborate with cross-functional teams to integrate data science into product roadmaps and executive decision-making.
Pinterest is a visual discovery platform where millions of people find creative ideas and plan for memories. As a publicly traded company with a global workforce, it fosters a culture of inclusion, innovation, and flexibility.
Build and scale massive distributed compute and storage systems for frontier model training.
Architect multi-cluster orchestration layers to optimize workload placement across diverse hardware and regions.
Design future-proof storage and metadata systems to handle exabyte-scale growth.
Mistral provides full-stack AI solutions from frontier models to developer tools, applications, and compute. We are a dynamic, collaborative team passionate about AI, with a diverse workforce distributed across Europe, North America, Asia, and the Middle East.