Role Description Als Junior Data Scientist (Mensch) gestaltest du gemeinsam mit unserem Data Science Team aktiv den Erfolg unserer digitalen Strategien mit! Du tauchst tief in unsere Daten ein, um wertvolle Erkenntnisse zu gewinnen und innovative Lösungen zu entwickeln, die einen Mehrwert für unsere Kunden liefern. - Analyse & Algorithmen: Die Analyse großer Datensätze sowie die Entwicklung und Implementierung von Algorithmen und Machine-Learning-Modellen zur Optimierung unserer digitalen Werbekampagnen gehören zu deinen Hauptaufgaben. - Experimentation & Optimierung: Das Konzipieren und Evaluieren von Experimenten wie A/B-Tests zur kontinuierlichen Verbesserung der Performance von Modellen und Kampagnen fällt in deinen Aufgabenbereich. - Modell-Deployment & Monitoring: Deine Unterstützung ist bei der Implementierung und dem Monitoring von Data-Science-Modellen in Produktionsumgebungen gefragt. - Zusammenarbeit: Eine enge Kooperation mit unseren Marketing-, Produkt- und Engineering-Teams stellt sicher, dass datengestützte Lösungen erfolgreich integriert und ihre Wirkung maximiert wird. - Wissensaustausch: Dein Wissen teilst du aktiv im Team und trägst so maßgeblich zur Weiterentwicklung unserer Data-Science-Kompetenzen bei. Qualifications - Ein abgeschlossenes Studium, idealerweise im Bereich Wirtschaftswissenschaften, (Wirtschafts-) Informatik, Mathematik oder Naturwissenschaften, kombiniert mit erster Berufserfahrung. - Kenntnisse in Python (Pandas, SK-Learn, Numpy) sowie SQL und idealerweise Erfahrungen mit Cloud-Plattformen wie der Google Cloud Platform. - Idealerweise Kenntnisse in Tools wie Git und Jira. - Ausgeprägte Analysefähigkeiten und Technikaffinität. - Lösungsorientierte, strukturierte und agile Arbeitsweise sowie Kommunikationsstärke im Umgang mit verschiedenen Stakeholdern. - Verhandlungssichere Kommunikation auf Deutsch und Englisch. Requirements - Eigeninitiative - Selbstständigkeit - Teamfähigkeit - Lösungsorientierung Benefits - Work-Life-Balance: Mit unseren flexiblen Arbeitszeiten & Remote Work gestaltest du deinen Alltag so, wie er zu dir passt. Außerdem kannst du Überstunden ausgleichen. - Vacation mode on: Du erhältst 30 Urlaubstage plus einen flexiblen Tag – zusätzlich sind der 24. und 31.12. frei. - Wellbeing first: Gesundheitsleistungen, attraktive Altersvorsorge sowie Mental Health Awareness Days stellen deine Gesundheit in den Mittelpunkt. - Practice makes perfect: Entfalte dich mit unseren vielfältigen Weiterbildungen und nutze unsere internen Karriereprogramme für deine Entwicklung im WPP-Netzwerk. - More than just a job: Dich erwarten unvergessliche Events, Mitarbeitendenrabatte und weitere Highlights wie das Job Ticket, Wellhub oder das Job Bike. - Be yourself: Bei uns ist jede:r herzlich willkommen - Vielfalt und Chancengleichheit liegen uns am Herzen.

Role Description The AVP, Research Science and Advanced Analytics provides strategic and operational leadership for Inovalon’s research analytics capabilities. This role leverages deep subject matter expertise to optimize client outcomes and improve internal processes. - Lead and supervise a team of technical subject matter experts (SMEs) responsible for delivering analytics and research results for internal and external clients. - Manage analyst resource availability, planning, and allocation to optimize team performance and meet project timelines and budgets. - Develop and maintain expert-level knowledge of Inovalon’s products, services, and infrastructure to ensure optimal operational and financial performance. - Serve as thought leader and SME in optimizing research databases, programming (SQL, SAS, R, Python), data analytics, biostatistics, econometrics, and research methods. - Establish and enforce standards for programming, stored procedures/scripts, code documentation, and quality control processes across the analytics team. - Design, implement, and maintain comprehensive onboarding materials, training, and processes to ensure smooth integration of new staff. - Provide expert guidance and solutions to client inquiries regarding analytical methodologies, programming logic, and technical approaches. - Lead the development and implementation of standardized quality assurance and quality control protocols to ensure accuracy and consistency across analytics deliverables. - Oversee continuity planning and ensure seamless transitions in analytic workflows when project team members depart. - Manage and lead efforts to salvage projects experiencing changes in direction and/or quality issues, implementing corrective actions and restoring deliverable standards. - Contribute technical expertise to statements of work (SOW), project budgets, and research protocols as needed. - Anticipate and develop flexible analytic tools and models for reuse across diverse clients, including AI-driven solutions. - Serve as primary liaison to product and engineering teams at Inovalon on matters related to database, analytic and technical environments. - Mentor and develop junior staff into SMEs through formal and informal coaching. - Maintain compliance with Inovalon’s policies, procedures and mission statement. - Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures. Qualifications - 10+ years of professional experience in healthcare or pharmaceutical industries, including 5+ years in consulting. - 5+ years of supervisory experience leading technical analytic teams. - Deep expertise in advanced statistical tools, approaches, and methodologies and their application in healthcare and pharmaceutical domains, including Health Economics and Outcomes Research (HEOR). - Proven technical and programming proficiency across HEOR and broader healthcare analytics domains. - Strong knowledge of programming standards and ability to implement best practices across teams. - Technical proficiency in SAS, SQL, R, Python, and familiarity with Linux, Windows, Redshift, Snowflake. - Knowledge of System Development Life Cycle (SDLC) and ability to integrate into HEOR workflows. - Experienced in maintenance and evolution of analytics codebases using Git and related tooling (e.g. GitHub, GitLab, or Bitbucket). - Experienced in agile project management methodologies, leveraging tools such as Jira and Azure DevOps. - Demonstrated ability to manage team workload effectively, build strong team relationships, retain talent, and foster long-term engagement. - Ability to design, implement, and maintain comprehensive onboarding materials and processes. - Proven success in leading teams and managing multiple projects with competing priorities. - Exceptional analytical, problem-solving, and decision-making skills. - Advanced project management expertise, ensuring timely delivery of results and adherence to deadlines. - Proficiency in Microsoft Office Suite (PowerPoint, Excel, Word). - Excellent written and verbal communication skills, with ability to convey complex concepts to technical and non-technical audiences. Benefits - Competitive salary and benefits package. - Performance-based incentives. - Health insurance, life insurance, company-paid disability. - 401k and 18+ days of paid time off. Education - Master’s degree or PhD in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline (or equivalent experience).

• Building and refining credit scoring models that assess customer creditworthiness, default risk, and loan pricing across multiple markets • Developing and testing ML models for loan eligibility and pricing optimisation through A/B testing and statistical analysis • Continuously improving eligibility criteria by analysing repayment data, engineering new features, and monitoring credit performance for risk shifts and margin impact • Collaborating cross-functionally with engineers, data scientists, and commercial stakeholders to scale models into production

Come Make an Impact on Millions of Brazilians! At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for all their financial needs. We serve over 10 million users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market. Our goal? Deliver the best payment experience in Brazil for people and small businesses alike. We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve real problems, work with strong teams, and rethink what’s possible. If you’re ready to do your best work, at scale, with purpose — this is your place. Position Overview Do you want to challenge the limits of data science in a high-impact, growing environment? At RecargaPay, we are looking for a Specialist Data Scientist to join our Data Science team, with the mission of supporting the development, monitoring, and evolution of credit models and decision strategies. As a Specialist Data Scientist, you will be responsible for leading the development and implementation of advanced machine learning models and analytical solutions to solve complex credit and transaction risk challenges. You will be part of the Data Science team, focusing on technical leadership, mentoring, and the adoption of new technologies. Key Responsibilities - Develop and implement real-time scoring models to quantify the risk level of transactions and credit operations. - Build predictive models using internal and third-party data to optimize user onboarding and reduce losses. - Evolve static rule engines into dynamic, graph-based ones, enabling more intelligent and adaptable rule management. - Lead the adoption of new technologies like Databricks and Data Catalogue, advocating for best practices and facilitating a transition to a more modern and efficient data environment. - Analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in risk assessment. - Develop and implement fingerprinting and geographic tracking solutions to improve risk assessment. - Guide and mentor team members, sharing your experience and knowledge, and leading key projects from a technical perspective. - Monitor and analyze the performance of credit models, focusing on their stability and accuracy.