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.).
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.
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.
Proactively identify data science use cases throughout the organization as well as new datasets.
Develop business intelligence solutions and conduct ad-hoc analyses to meet these needs and support data-driven decision making.
Build and manage assets in Tuesday’s data lake (Azure Databricks, dbt) leveraging a variety of datasets.
Tuesday Health is a value-based palliative care provider group dedicated to transforming serious illness and end-of-life care. Through our leading-edge care model, Tuesday Health is shaping the future of community-based palliative care nationwide.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions
Development and implementation of Deep learning algorithms for AI solutions
Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models
Exadel is an AI-first global tech company with 25+ years of engineering leadership. They have 2,000+ team members, and 500+ active projects powering Fortune 500 clients valuing open dialogue, creative freedom, and mentorship.
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.
Lead the research, design, and implementation of end-to-end machine learning solutions.
Own the evaluation and prompt engineering strategy for Large Language Models (LLMs).
Act as a strategic partner to Product and Engineering leaders.
OfferUp is dedicated to creating the simplest and most trusted way for people to buy, sell, and connect in their local communities. OfferUp was founded in 2011 and based in Bellevue, WA, and serves local markets nationwide.
Design, develop, and deploy LLM- and RAG-powered applications that enhance analyst and hacker productivity across offensive security use cases.
Architect and maintain large-scale, high-performance data pipelines to process vulnerability, asset, and activity datasets from multiple sources.
Collaborate with security researchers and engineers to translate offensive security workflows into data-driven automation.
Bugcrowd empowers organizations to take back control and stay ahead of threat actors. With a network of hackers, Bugcrowd brings diverse expertise to uncover hidden weaknesses and adapts swiftly to evolving threats.
Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
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 about solving customer problems.
Define the vision and roadmap for the data function, prioritizing initiatives for maximum business impact.
Build, mentor, and manage a high-performing Data team while coordinating with external agencies until internal resources are established.
Partner with product, engineering, marketing, operations, and leadership to translate business goals into measurable outcomes.
Jobgether is using AI-powered matching process to ensure application is reviewed quickly by identifying the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps are managed by their internal team.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
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 corporate headquarters in Dublin, Ireland.
Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets.
Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.
Write clean, efficient, and modular code, with automated tests and appropriate documentation.
Turnitin partners with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. They are a global organization with team members in over 35 countries that embraces diversity, respects local cultures, and has a remote-centric culture.
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.
Prospect Director/VP Data Governance and Data & Analytics roles at companies with regulatory exposure.
Design hypothesis-driven tests on messaging, channels, and audience segments.
Leverage Clay, Claude, and custom enrichment workflows to research accounts.
Anomalo is the AI-powered data quality platform trusted by Fortune 500 companies. The company combines unsupervised machine learning with automated root-cause analysis to detect anomalies without manual rule maintenance and is backed by $82M. The culture supports autonomy and growth.
Design and build end-to-end LLM-powered workflows, including RAG pipelines, tool-calling systems, and agent architectures
Rapidly prototype internal AI assistants and automation tools across business functions
Develop shared connectors to major LLM providers and internal data sources
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience. As they enter the next phase of rapid growth, they are seeking people to help lead the journey as a devoted and capable team.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Establish the foundation of LiveKit's analytics practice.
Translate business concepts into robust data models, create actionable KPIs, and enable data-driven decision making.
Balance pragmatic short-term solutions with building for scale in an AI-first development environment.
LiveKit is building the infrastructure layer for the voice-driven era of computing. Their platform gives developers everything they need to build, test, deploy, scale, and observe agents in production facilitating billions of calls each year.