Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Research new types of fraud and develop new SentiLink products around identity verification.
Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Design, build, and maintain secure, compliant ML infrastructure and automation adapted for high-sensitivity environments.
Develop and productionize machine learning and data pipelines serving real-time models that fight fraudulent traffic, spam, and bots.
Extract valuable signals from massive datasets, using your expertise to turn raw data into actionable insights.
Yelp is driven by their values, they’re a cooperative team that values individual authenticity and encourages creative solutions to problems. They are all about helping their users, growing as engineers, and having fun in a collaborative environment and are an equal opportunity employer.
Own SentiLink’s real-time ML model monitoring domain.
Own our ML experimentation, model tracking, and versioning infrastructure.
Drive improvements to the model development process.
SentiLink provides identity and risk solutions for secure transactions. They are backed by investors like Craft Ventures and Andreessen Horowitz, recognized by Forbes Fintech 50, and have offices across the U.S. and India.
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, and they foster an environment where everyone feels they belong and can excel.
Design, develop, and deploy machine learning models to solve complex business problems in the AdTech domain
Analyze large datasets to generate actionable insights and improve product performance
Build and maintain scalable data pipelines using big data tools and frameworks
Sigma Software brings together talented professionals to deliver high-load, data-driven platforms for global clients. They value expertise, listen to their employees' voices, and empower career growth.
Design, develop, and maintain high-performance, scalable, and secure backend services, primarily using Python and frameworks like FastAPI
Translate ambiguous business and technical requirements into concrete software designs and actionable tasks for cross-functional teams
Operate and maintain production applications at scale, ensuring high availability, performance, and reliability
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. Valued at over $1 billion, SmartAsset has earned recognition on the Inc. 5000 and Deloitte Technology Fast 500 lists.
Work in the Data Science team developing advanced AI solutions to drive marketplace growth and efficiency.
Build models, test them, and deploy them to production to measure the true impact of your models.
Translate business requirements into achievable projects and collaborate with other teams.
OLX makes it safe, smart, and convenient to buy and sell cars, find housing, get jobs, buy and sell household goods, and more. They serve millions of people around the world every month through well-loved consumer brands including OLX, Otodom, AutoTrader, Property24.
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.
Focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows.
Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems.
Make spawning new research pipelines seamless and scalable.
The client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers by working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Design, build, and deploy predictive models that improve learner outcomes and product performance.
Develop, own, and continuously improve end-to-end data science workflows.
Partner closely with product, engineering, research, and leadership to translate ambiguous questions into data science solutions
CareerVillage is a fast-scaling tech nonprofit at the intersection of education, equity, and technology. They believe everyone deserves access to high-quality career guidance and have built an AI-powered career navigation tool. Their flagship crowdsourcing platform supports millions of learners.
Design, develop and deploy advanced statistical or machine learning models for high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment.
Partner with cross-functional teams to integrate models into applications and proactively identify and solve problems.
Forward Financing is a financial technology company based in Boston, Massachusetts. They are on a mission to unlock the capital that fuels small businesses across America and they have team members throughout the United States, Dominican Republic, and Canada.
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.
Advanced knowledge of AWS services including ML services (AWS SageMaker and AWS Step Functions).
Experience with ML monitoring and automation tools (MLflow, SagaMaker Pipelines).
Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion.
Formulate and drive original research directions in graph learning for fraud detection.
Design scalable approaches for dynamic, heterogeneous, and large-scale fraud graphs.
Investigate agentic AI and LLM-augmented systems for automated risk reasoning.
Socure is building the identity trust infrastructure for the digital economy, verifying identities in real-time and stopping fraud. They hire people who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.
Contribute innovative ideas to the technical and product roadmaps.
Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations.
Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Their team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology.
Gathering requirements for, and implementing streaming and batch pipelines
Developing and maintaining of batch data pipelines using AWS Glue, Lambda, and Python
KOHO's mission is to make financial services better for every Canadian by offering transparent financial products designed to help users spend smart, save more, and build wealth. They are a performance organization that values autonomy, high trust, and work-life integration.
Architect, implement, and maintain production-grade, low-latency ML services.
Collaborate with data scientists, product managers, and engineers.
Design and support experimentation frameworks to test hypotheses and measure improvements.
Smart Working connects skilled professionals with global teams and products for full-time, long-term roles. They are one of the highest-rated workplaces on Glassdoor and value integrity, excellence, and ambition for their employees' personal and professional growth.
Perform extensive exploratory analyses across the marketing channels
Develop, test, productionalize, monitor and maintain propensity models
Build dashboards in Tableau to communicate model trends, insights and performance
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead the design, development, and deployment of ML models that predict and influence customer behavior.
Build behavioral segmentation frameworks, uplift models, and propensity scoring used across product, lifecycle marketing, and account strategy.
Drive insights for core product areas using a mix of causal inference, predictive modeling, and experimentation.
NextRoll is a marketing technology company empowering businesses to drive sustainable growth and trusted audience connections. It is a privately held company headquartered in San Francisco, committed to diverse teams and an equal opportunity employer.