Role Description Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms, and data mining methodologies to render business value and illuminate data-driven insights. - Lead and manage data science projects from inception to completion. - Collaborate with stakeholders to understand strategic objectives and identify opportunities to leverage data for AI and machine learning. - Responsible for overall AI system design, problem framing, and governance. - Design, develop, and implement data science strategies that drive measurable business results. - Design experiments to rapidly test ideas and assumptions. - Use quality metrics to select machine learning models for production. - Communicate technical findings and insights clearly to stakeholders. - Contribute to the growth of the data science community and promote data literacy. - Address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). - Work with CD4ML practices and data versioning tools. Qualifications - Experience in leading the analysis and modeling of different datasets. - Experience with statistical modeling, hypothesis testing, machine learning, deep learning, and optimization. - Specialty in at least one area of AI (e.g., NLP, computer vision, Generative AI). - Experience with R, Python, or equivalent statistical/data analysis tools. - Ability to gather and preprocess large volumes of structured and unstructured data. - Analyze datasets using statistical and visualization techniques. - Develop and implement machine learning models and predictive analytics. - Evaluate model performance using appropriate metrics. - Interpret and communicate findings to non-technical stakeholders. - Ensure compliance with data privacy regulations and ethical standards. Requirements - Understand the importance of stakeholder management and liaise effectively. - Resilient in ambiguous situations and adaptable to challenges. - Proactively manage risks and conflicts. - Eager to coach, mentor, and motivate others. - Advocate for technical excellence while being open to change. - Proven leader with a track record of encouraging professional development. - Strong relationship-building skills that create new opportunities. Benefits - Support for career development through interactive tools and numerous programs. - Empowerment in career journeys with a focus on continuous learning. Company Description Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. - Over 30 years of delivering extraordinary impact with clients. - Helping clients solve complex business problems with technology as the differentiator.

• Identify, extract and process data from relevant data sources for model development. • Researching and selecting suitable image data sources. • Managing the end-to-end image data collection and preparation process including filtering, extraction, cleaning, structuring, and quality checks. • Analyzing image datasets using ML models to validate data quality and labeling plausibility. • Designing prompt/query logic for LLM-driven automation of meta-labeling processes. • Research methods to collect video data for ML training. • Creating audit-ready documentation to support compliance and internal audits. • Validating and quality-checking annotations. • Ensuring consistency, completeness, and adherence to internal annotation guidelines, and providing structured feedback. • Documenting quality findings to support continuous improvement of data quality. • Collaborate closely with our software and product teams. • Continuously develop yourself and think outside the box.

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).