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, 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.
Complete exploratory data analysis and hypothesis testing.
Translate ambiguous business problems into clearly defined modeling challenges.
Design, build, and validate statistical, predictive, and machine learning models.
Buyers Edge Platform is revolutionizing the food service industry through technology, purchasing power and partnerships. They are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume.
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.
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.
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.
Partner with stakeholders to identify opportunities where data can inform better business decisions.
Develop predictive models and statistical analyses to support pricing, underwriting, claims, and operational initiatives.
Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows.
Attune provides data-driven insurance solutions. They are a remote-first company that values innovation and collaboration, offering employees opportunities for growth and development.
Develop and maintain pricing and risk models with limited supervision, ensuring accuracy, transparency, and scalability
Analyze product profitability, loss trends, competitive positioning, and risk segmentation to inform pricing decisions
Conduct competitive intelligence analysis, including familiarity with tools such as InsureQuote and market benchmarking sources
Kin simplifies homeowners' lives with affordable insurance, especially in high-risk areas. They leverage data and technology to provide transparent, fair products, fostering customer confidence and are a remote-first employer with Kinfolk across more than 35 states, serving customers in 13 states.
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, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
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 models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Lead our AI & Data department with autonomy as a proactive tech enthusiast.
Develop, train, validate, optimize, and maintain Machine Learning models.
Extract, clean, validate large datasets, and interpret data for business opportunities.
Everfield buys, builds, and grows European vertical market and specialist software companies, providing them with the tools they need to move to the next level. Companies in the Everfield ecosystem follow a decentralised model, maintaining their team, brand, and offices, while focusing on what they do best - building products and supporting customers.
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.
Improve customer and business outcomes through automated decisioning with ML and statistical modelling.
Focus on credit risk modelling, predicting/optimizing utilization, pricing, collection and marketing.
Innovate in data, methodologies, and tooling.
Monzo is on a mission to make money work for everyone, waving goodbye to the complicated ways of traditional banking. They have over 15 million customers and a long history of creating magical moments for their customers; they are not about selling products - they want to solve problems and change lives.
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.
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.
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.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transaction with confidence. They are building the future of identity verification in the United States replacing a clunky, ineffective, and expensive status quo with solutions that are 10x faster, smarter, and more accurate.
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.
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.