Role Description We are seeking a Technical Analytics Manager/Lead Data Scientist to lead the design, development, testing, validation, and deployment of advanced analytics, machine learning models, and AI-enabled fraud detection capabilities supporting federal oversight and investigative activities. The successful candidate will provide technical leadership across multiple analytics projects while ensuring high-quality deliverables, mentoring technical teams, and collaborating with government stakeholders to detect fraud, waste, abuse, and mismanagement across large federal benefit programs. Responsibilities - Five (5) or more years of hands-on experience developing analytic rules and models for fraud detection use cases using leading edge analytic tools and best practices. - Five (5) or more years of hands-on experience designing analytic approaches, managing model development and testing efforts, and conducting thorough quality control. - Experience ideating use cases using innovative approaches to detect and prevent fraud, waste, abuse, and mismanagement. - Five (5) or more years of tracking project progress and identifying and mitigating risks and issues associated with delivering projects on time and at a high level of quality. - Five (5) or more years of conducting thorough review and quality control on contractor support teams’ work products before analytic models and insights are finalized. - Five (5) or more years of hands-on experience coding rules and models using open-source programming techniques and tools. - Strong oral and written skills. Qualifications - Minimum 5 years developing fraud detection analytics. - Minimum 5 years designing analytic approaches and managing model development. - Minimum 5 years coding in Python or other open-source programming languages. - Experience with machine learning, anomaly detection, predictive analytics, and AI. - Experience leading technical teams. - Excellent verbal and written communication skills. Preferred Qualifications - Experience supporting federal oversight agencies. - Experience with Databricks, SQL Server, Azure. - Experience supporting fraud detection for federal benefit programs. - Experience with graph analytics and Neo4j. Benefits - 401(k) - Dental insurance - Health insurance - Paid time off - Vision insurance Company Description This is a remote position.

Role Description - Manage 2 to 3 D&A projects and all corresponding responsibilities at any given time - Provide Analyst/Senior Analyst/Consultant/Senior Consultant (SC) colleagues guidance on most problems - Advise SCs on typical problems that emerge through the course of typical project types - Oversee and advise on communications with data vendors/internal teams/client teams for questions related to data sets, suggestion on methodology, data nuances, etc. - Innovate project approaches and identify new life sciences problems to solve with analytics - Lead team building by making code scalable through templates, macros, or interfaces - Clearly communicate analytical techniques and findings from analyses in a non-technical way - Foster and develop a high performance, strongly collegial and collaborative environment - Exhibit exceptional project management skills including raising issues to leadership early, designing impactful internal and external agendas and avoiding 'fire drills' with teams - Elevate quality, clarity and simplicity of team outputs with early and clear direction, hypothesis-based thinking, simplification of storylines, impact of visuals and pithiness of writing - Proactively collaborate with leadership such as engaging for thought partnership early, raising potential 'red flags' regarding client or team experience and around team performance - Consistently create a positive experience for all team members - Deal with challenging problem solving in real-time (e.g., reacting and generating hypotheses in the moment with colleagues / leadership / clients) - Invest in mentorship within and outside of the project setting and commitment to high-quality coaching - Become a standard bearer of ClearView values - Demonstrate impact to firm growth even outside of project delivery through internal initiatives and coaching/mentorship - Able to pressure test methodologies and rigor of coding and analyses across the project and pivot, as needed - Perceived as a strong role model in the organization (e.g., helping others navigate various challenges in the client setting as well as within ClearView) - Position will supervise 1 to 6 subordinates in positions of Analyst, Senior Analyst, Consultant, Senior Consultant Qualifications - Requires a Master's degree in Statistics, Mathematics, Machine Learning, Physics, Data Science or a related field plus 6 years of related experience - Requires 6 years of experience with the following: - Working with large data manipulation in SAS or SQL interfaces - Working in one or more of the following areas: - Common machine learning models (e.g. neural networks, support vector machines, decision trees) - Advanced regression models (e.g. Bayesian, hierarchical, non-linear) - Unsupervised learning - Advanced time series - 3 years of experience working with life sciences data (e.g. closed and open claims, EHR) - 1 year of experience managing D&A projects and all corresponding responsibilities at any given time - Any amount of experience with providing colleagues guidance on most problems - 100% telecommuting is permitted - Ability to work 40 hours/week - Pay range is $150,000 - $170,000 per year Benefits - Applicants who are interested in this position may apply at www.jobpostingtoday.com (Ref #74291) for consideration What We Value - We recognize that not every candidate will meet every qualification listed - If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply - We value curiosity, a growth mindset, and a commitment to collaboration Equal Opportunity Employer ClearView Healthcare Partners ("CV") is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

• Act as a strategic partner to Product squads, participating in routines and monitoring the development of new features • Analyze user behavior throughout the app journey, identifying opportunities to improve experience and engagement • Develop exploratory analyses to support product decisions and initiative prioritization • Create metrics, dashboards, and visualizations in Tableau to track the squad's key indicators • Build and optimize SQL queries for data exploration and creation of analytical datasets • Consume data from Databricks to support analyses and decision-making • Evaluate results of experiments and tests, measuring the impact of implemented initiatives • Work with app event data to understand behavior, conversion, and feature usage • Build data storytelling, presenting analyses and recommendations clearly for different audiences

Role Description La DGAMPA développe une capacité de valorisation de ses données maritimes, pêche et aquaculture au profit de ses bureaux métiers, partenaires administratifs et privés qui débute par la mise en place d'une solution d'exploration, d'analyse et de visualisation de données 360°. Elle poursuit son action avec la mise en place, en 2024, d'une plateforme opendata et de solutions de traitement évolués de données géolocalisées. Elle conduit, par ailleurs, la transformation numérique des usages via la refonte de son système d'information composé de plus d'une centaine d'applications et de bases de données. L'ingénieur Data Steward devra fournir un appui pour gérer l'organisation, la qualification et la gestion des données de référence du service. Au sein de l'équipe Innovation et data, vos missions principales seront : - Veiller à la fiabilité de la donnée - Animer la culture data au sein du service - Définir et maintenir les règles de qualité de données (complétude, exactitude, cohérence, fraîcheur) - Mettre en oeuvre et enrichir le catalogue et le dictionnaire de données du service - Identifier, qualifier et documenter les données critiques - Concevoir les processus de correction et d'amélioration continue de la qualité des données - Assurer la traçabilité des données (data lineage) et en documenter les flux - Contribuer aux analyses d'impact relatives à la protection des données (AIPD/DPIA) - Participer à la définition et à l'application des politiques de gestion du cycle de vie des données - Participer au reporting de suivi d'activités du service - Former et sensibiliser les collaborateurs aux bonnes pratiques de gestion et d'utilisation des données - Être l'interlocuteur/trice privilégié(e) des équipes SI, BI et métiers sur les sujets liés aux données - Contribuer aux instances de gouvernance (comités pilotage, comités de suivi, revues de qualité) Qualifications - Formation initiale scientifique de spécialité informatique de niveau 7 RNCP : Bac+5 en informatique décisionnelle, statistiques, mathématiques appliquées, data science ou équivalent (école d'ingénieur, master universitaire) - Minimum 2 ans d'expérience sur un poste similaire (analyste données, data steward) - Certification en gouvernance des données (CDMP, DAMA) et/ou protection des données (CIPP/E, DPO certifié) serait un plus Requirements - SQL avancé (requêtes complexes, optimisation) - Python (visualisation, statistiques) - Modélisation de données (MCD, MPD, entrepôts de données) - Maîtrise des processus ETL/ELT & pipelines de données - Connaissance RGPD et principes de data quality - Outils BI (Grist, Superset, Digdash ou équivalent serait un plus) - Outils de gestion des référentiels serait un plus (MDM Blueway) Benefits - Rigueur analytique et fort sens du détail - Pédagogie et capacité à vulgariser des sujets complexes - Esprit de collaboration transverse et diplomatie - Proactivité et orientation résultats mesurables - Adaptabilité dans un contexte en forte évolution - Excellentes capacités de communication écrite et orale - A l'aise avec les méthodologies de conduite de projets agiles, vous saurez vous intégrer dans un travail en équipe Éléments de candidature Documents à transmettre : Pour postuler à cette offre, l'envoi du CV et d'une lettre de motivation est obligatoire. Personnes à contacter : - geoffroy.aulagner@developpement-durable.gouv.fr - Yoelma.rodriguez-d@developpement-durable.gouv.fr