• Owner of AI and data product initiatives end to end. • Build agentic AI and LLM-powered features, from concept to shipped product. • Turn large construction data sets into commercial products. • Create crisp specs and PRDs for engineering execution. • Maintain a working feedback loop with design partners. • Partner with PMM, sales, and CS for feature adoption.

• Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. • Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.

Role Description Dans le cadre de l'expansion de Djamo, nous recherchons un·e Data Scientist Staff – Crédit & Fraude pour prendre la responsabilité technique senior d'un des sujets les plus critiques de notre activité : décider qui a accès au crédit, et protéger nos utilisateurs contre la fraude, à grande échelle. Rattaché·e à la Head of Data, vous serez la voix technique la plus senior en matière de crédit et de fraude au sein de l'équipe Data. Ce n'est pas seulement un rôle de construction de modèles : vous définirez l'orientation technique de la manière dont Djamo évalue le risque de crédit, détecte la fraude et gère le risque à mesure que nous nous développons sur de nouveaux marchés et produits. Vos responsabilités principales : - Définir la stratégie technique et la roadmap pour le risque de crédit et la détection de fraude. - Concevoir, construire et déployer des modèles statistiques et de machine learning de qualité de production. - Définir les standards techniques et les bonnes pratiques pour la fonction data science. - Collaborer étroitement avec les équipes dirigeantes Engineering, Produit, Risque et Opérations. - Explorer et défendre de nouvelles manières d'utiliser l'IA/ML pour le crédit, la prévention de la fraude et l'inclusion financière. Qualifications - Master ou doctorat en data science, informatique, statistiques, ingénierie ou domaine connexe. - Au moins 7 ans d'expérience en analyse de données à grande échelle, machine learning et modélisation prédictive. - Une bonne maîtrise de l'anglais. - La connaissance du cadre réglementaire et prudentiel régissant le crédit et la fraude dans la région est un atout. Requirements - Maîtrise approfondie des statistiques avancées appliquées à la modélisation. - Expertise avancée en Python & SQL. - Expertise en modélisation du risque (crédit, fraude,...) et bonne connaissance des données de crédit traditionnelles. - Maîtrise des bibliothèques et frameworks de machine learning. - Expérience en preprocessing et en feature engineering sur des données structurées et non structurées. - Expérience de la conception d'expériences et de l'interprétation de leurs résultats. - Expérience du déploiement et de l'industrialisation de modèles de bout en bout. - Familiarité avec les plateformes cloud (GCP, AWS, …). - Maîtrise des outils de visualisation de données. - Expérience pratique avec Git / systèmes de gestion de versions. Benefits - Un impact réel et mesurable sur l'accès aux services financiers. - Un fort niveau d'ownership avec autonomie sur vos sujets. - Un environnement complexe et en forte croissance. - Des standards élevés, sans politique. - Des opportunités d'évolution réelles. - Diversité, inclusion et égalité des chances.

Data Scientist Location: Remote, United States Job Description: Requisition number: 2362665 Job category: Technology Primary location: Minnetonka, MN Overtime status: Exempt Travel: No Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. This role is a senior, hands‑on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks. Working in office if based in MSP or DC Primary Responsibilities: - Designing and implementing ML models - Creating custom embeddings - Building RAG pipelines - Implementing vector databases - Developing agentic workflows with LangChain - Integrating AI into enterprise applications for Claims Payment Integrity (PI) - The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases - Contribute to experimentation with novel ML and Generative AI architectures - Create and maintain embedding models (domain-specific embeddings, document/text embeddings) - Support Retrieval‑Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration - Help design and implement AI‑powered enterprise applications - Analyze large datasets to identify trends, patterns, and actionable insights - Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance - Optimize AI pipelines for scalability, performance, reliability, and cost efficiency - Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams - Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly - Contribute to skill development for engineers and interns in AI/LLM techniques - Comply with company policies, procedures, and directives You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related - 5+ years of experience as a Data Scientist - 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation) - 5+ years of experience with Python, Scala, SQL - 3+ years of Databricks, Spark - 2+ years of experience with LLM & GenAI Skills: - Creating custom embedding models - Building RAG pipelines - Vector DBs & semantic search - Using LangChain for agentic workflows (tools, agents, memory) - Experience with OpenAI/Azure OpenAI APIs - Experience with Azure cloud for compute, security, and resource management - CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform - Excellent communication and partnership skills - Experience with Actuarial, Risk and Forecasting Models Preferred Qualifications: - Experience with healthcare claims data - Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools - Demonstrated problem-solving, and analytical thinking skills - Demonstrated organizational skills with ability to be flexible and work with ambiguity Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.