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.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
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.
Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc.
Develop and maintain backend services using Python, focusing on AI-driven applications.
Design and implement APIs for seamless integration with AI models and services.
Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans. They are rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve.
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.
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.
Lead custom analytics and modeling engagements from scoping through delivery and ongoing support.
Develop credit strategies and ML models (underwriting, line assignment, pricing, early warning, collections).
Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics).
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. As a FTSE 100 Index company listed on the London Stock Exchange, they have a team of 22,500 people across 32 countries.
Collaborate with an agile team focused on product development in Data Science.
Analyze and prepare complex datasets for client projects.
Evaluate current market developments in Advanced Analytics and Machine Learning.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Plan, develop, train, evaluate, and monitor machine learning models.
Conduct experiments, proof of concepts (PoCs), and discovery initiatives.
Explore and analyze business data, performing diagnostic, predictive, and prescriptive analyses.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements. Their system identifies the top-fitting candidates and shares this shortlist directly with the hiring company.
Apply statistical analysis and machine learning techniques to uncover insights and build predictive models.
Investigate data trends, patterns, and anomalies, and assist in diagnosing issues.
Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
Super.com aims to help maximize the lives of both their customers and their team. They are a fast-paced, high-growth tech company that cares about its people and takes career progression seriously.
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
OnePay is a consumer fintech company trusted by millions of Americans. They provide an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place and are backed by Walmart and Ribbit Capital.
S’approprier le business sales (processus commerciaux, pipeline, forecast, CRM…) and Comprendre les modèles de données et les flux entre les différentes sources (CRM, ERP, outils internes…).
Conception de solutions data-driven and Réaliser des analyses exploratoires et des études ad hoc pour éclairer les décisions business.
Concevoir et développer des modèles ML (scoring, recommandations, priorisation des opportunités, etc.) and Mettre en œuvre des cas d’usage LLM pour le copilot (Q&A, résumés, génération de texte, RAG, etc.).
HELPLINE specializes in user support outsourcing and the implementation of a collaborative employee experience augmented by AI, where human expertise and technology mutually enrich each other. They have 2,500 employees and a turnover of +200 M€ in 2025.
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.
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, build, and deploy advanced analytical models to drive insights and decision-making across teams.
Develop predictive models for forecasting, churn, lead scoring, pipeline health, and customer lifetime value.
Translate business questions into data science problems and experimentation strategies.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, develop, and deploy machine learning models for various applications.
Build and optimize automated, scalable ETL/ELT pipelines using Python, SQL, and cloud-based tools.
Create interactive dashboards and data visualizations using Tableau, Power BI, or similar platforms.
Jobgether is a platform that uses AI to match candidates with jobs, ensuring fair and objective reviews. They provide a system that identifies top candidates for hiring companies.
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.
You’ll own the development and testing of deep learning architectures that define how Tilt understands risk.
You’ll partner with peers in Engineering and Product to ensure our models are effective and scalable in the real world.
You’ll look past the symptoms of a data problem to find the root cause and turn complex findings into clear, actionable solutions for our lending platform.
Tilt is creating a new credit system that backs the working, whatever they're working toward. They have millions of customers worldwide and they are changing how people access financial products. At Tilt, they see a side of people that traditional lenders miss.