Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms.
Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making.
Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies.
Cotiviti provides payment accuracy and analytics-driven solutions, focusing on healthcare and retail sectors. They are committed to fostering a diverse and inclusive environment where team members can grow and thrive.
Develop Analysis Frameworks: Design and maintain scalable frameworks for client resolutions during POCs, onboarding, and production.
Build Monitoring & Alerting Systems: Create dashboards and real-time alert systems to monitor model performance and identify issues.
Drive Closed-Loop Model Improvement: Systematically monitor customer data to integrate real-world feedback into model development.
Socure builds identity trust infrastructure for the digital economy, verifying identities and preventing fraud in real time. The company hires critical thinkers who act like owners and cares deeply about solving customer problems with a high-performing team.
Monitor, refine and develop Credit strategies for personal loans.
Create test/control champion/challenger tests and monitoring to inform future strategies.
Perform ad-hoc analytics, create reporting and presentations.
Best Egg, now part of Barclays, is a market-leading, tech-enabled financial platform helping people build financial confidence through innovative lending solutions and financial health tools. As a Barclays company, they combine the agility and customer focus of a fintech with the global reach, stability, and purpose of a leading financial institution.
Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
Proactively explore data to identify customer problems and product bets.
Translate ambiguous problems into clear analyses and recommendations.
Partner with Product Managers to shape roadmaps.
RevenueCat removes the headaches of building and scaling in-app subscriptions. We're a remote-first crew of 120+, spread across 25 countries, helping everyone from solo devs to the OpenAI mobile team understand and grow their revenue.
Analyse M-KOPA's repayments data and other data sources to continuously improve credit scorecards and eligibility criteria while managing credit risk.
Refine loan pricing based on credit analysis and customer behaviour.
Test new loan types to understand customer demand and credit performance.
M-KOPA provides financing for everyday essentials accessible to everyone. They have served over 7 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa and are recognized as one of Africa's fastest growing companies.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety.
Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates.
Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation.
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. Affirm is proud to be a remote-first company with competitive benefits that are anchored to our core value of people come first.
Implement curated data model layer in dbt across data domains.
Design and build dbt models across the layered architecture.
Develop and optimize incremental models to handle high-volume domains.
Blend is an AI services provider, committed to co-creating meaningful impact for its clients through data science, AI, technology, and people. They aim to fuel bold visions by seamlessly aligning human expertise with artificial intelligence, dedicated to unlocking value and fostering innovation.
Query and process large datasets using Trino (SQL).
Work with data in AWS environment using PySpark.
Build audience segments based on website activity, call data, behavioral patterns and segment rules.
Kyivstar is one of the largest and most beloved telecom companies in Ukraine. They offer opportunities to work with large-scale real-world data in a friendly and collaborative team environment, with possibilities for professional development and career growth.
Drive insight generation for complex projects and in collaboration with cross-functional teams.
Develop models of cost and quality in support of our navigation and match services.
Identify opportunities to better engage and navigate members to drive top quartile outcomes at bottom quartile costs.
Included Health delivers integrated virtual care and navigation. We break down barriers to provide high-quality care for every person in every community, offering guidance, advocacy, and access to personalized virtual and in-person care.
Own end-to-end analytics workflows: define success metrics, generate insights and hypotheses, and build scalable data models
Identify and drive improvements across the developer and analytics lifecycle: uncover bottlenecks, quantify their impact, then partner with teams to drive alignment and deliver measurable impact.
Build and maintain high-quality analytics foundations: establish best practices for testing, alerting, documentation, and code review to ensure data is accurate, reliable, and trusted.
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 are a remote-first company with a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark.
Design and implement RBAC and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable.
Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks.
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 pride themselves on their culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
Architect and develop Analytics and Reporting solutions.
Implement and configure reporting technologies like Tableau and MicroStrategy.
Drive automation capabilities into reporting solutions.
Cotiviti helps healthcare payers identify and recover overpayments. They offer a competitive benefits package and value innovation, collaboration, and making a difference in healthcare.
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources.
Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals.
Develop data analysis tools to provide insights and capture key metrics.
Columbia General is seeking a Senior Data Engineer to help transform data into actionable insights that drive decision-making. The company fosters a dynamic, collaborative environment that supports growth and innovation.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Design and build end-to-end data pipelines across the RAW, Silver, and Gold layers of the Medallion Architecture.
Architect data ingestion, transformation, standardization, and serving processes, that structure data flows from diverse and heterogeneous sources into a coherent analytical foundation.
Model data for analytical consumption following Data Warehouse best practices, including Star Schema design and dimensional modeling suited for business intelligence and AI-readiness.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they’ve built partnerships with more than 1,000 clients during their 30 years of history, valuing diverse identities and life experiences.
Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
Design, build, and maintain scalable analytical solutions and reusable data science frameworks.
Cook Research Inc. is a global, family-owned company committed to improving patients’ lives since 1963. They value every voice, bring together inclusive teams who collaborate well, and encourage learning and innovation.
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. They have raised $145M from world-class investors and maintain a remote-first work culture.