Role Description The Data Scientist will be part of the Research & Development team, responsible for designing, building and maintaining internal systems used by management, coaches, scouts, analysts, and all other Hockey Operations staff. The primary focus of this role will be creating and communicating knowledge about hockey players, teams, systems, strategies, development, and training using data, often via long-term research projects. This position is available for in-person or remote work (with occasional travel). - Quantify, evaluate, and project the performance and abilities of hockey players and teams - Analyze data from all aspects of hockey operations - Build, validate, and automate models for hockey player and team performance - Collaborate with other members of the R&D department to address and support all existing data-related requests from across hockey operations - Create, summarize, and deliver statistical reports to stakeholders across hockey operations - Communicate effectively and directly with hockey operations staff - Perform all job duties in a variety of work settings including virtual meetings and distributed work environments, at in-person meetings, via phone/email, and in other settings - Clearly communicate complex technical concepts to others - Creatively use existing data to advance our understanding of the sport of hockey, the performance of players and teams, etc. - Perform ad-hoc and time-sensitive data analyses upon request - Maintain the utmost confidentiality - Perform other related duties as assigned Qualifications - Bachelor’s degree or higher in statistics, data science, machine learning, computer science, mathematics, engineering, or a related field - Hockey and/or sports analytics experience is highly preferred - Demonstrated experience working with player/object tracking data (ex. via computer vision or RFID systems) and/or skeletal tracking data (ex. via pose estimation) is preferred - Strong knowledge of programming for data analysis, preferably using R and/or Python - Demonstrated experience working with large, complex datasets - Experience building a variety of statistical models, and an understanding of those models - Experience writing shared code and using version control tools in team work environments - Ability to responsibly analyze and handle sensitive and confidential data - Ability to work a flexible schedule (including nights, weekends and holidays when necessary) and to occasionally travel Requirements - Knowledge of and Applied Experience in Statistics, Machine Learning, Data Science, etc.: - Experience working on long-term, open-ended, data-driven research problems (preferably in sports analytics) - Understanding of (and experience building) a variety of statistical models (e.g. generalized linear models, generalized additive models, hierarchical models, mixture models, non-parametric models, tree-based models, Bayesian models, boosting, unsupervised learning, neural networks, time series models, etc.) - Understanding of modern techniques for analyzing spatio-temporal data, such as recurrent neural networks, convolutional neural networks, transformers, etc. - Hockey and/or Sports Analytics Experience: - Deep knowledge of hockey and/or sports analytics - Strong performance in public data analysis competitions - Demonstrated experience working with player/object tracking data (e.g. via computer vision or RFID systems) and/or skeletal tracking data (e.g. via pose estimation) - Critical Competencies: - Strong attention to detail and highly organized - Ability to manage multiple projects at once - Excellent written and verbal communication skills - Flexibility to adapt to changing priorities - Collaborative and creative - Strong problem-solving skills Compensation This role will pay between $62,500 - $75,000 annually. Note: Wages will be determined based on factors such as candidate experience, qualifications, skill set and internal equity. Benefits - Medical Plans: Comprehensive and affordable medical plans; supplemental vision care, dental care, life insurance coverage, fully paid, short and long-term disability and life insurance coverage. - Investments: 401(k) with employer matching; annual discretionary defined employer contributions - Paid Time Off: Paid Volunteer Days - Sabres Experience: (up to 4) Comp tickets to Buffalo Sabres, Buffalo Bandits, Rochester Americans when available - Wellness: Annual Health & Wellness fair, monthly wellness initiatives including but not limited to lunch & learns, fitness classes and challenges. - Sabres Family: many annual social events for employees and their families to enjoy, including various holiday parties and activities. DEI committee with annual initiatives, ERG (Employee Resource Groups), Community Volunteer opportunities and more.

• Construção de soluções de IA para o time comercial • Desenvolver ferramentas e automações baseadas em IA para: • Geração e qualificação de leads • Suporte ao processo de vendas (roteiros, follow-ups, propostas) • Priorização de oportunidades • Integrar soluções com CRM e ferramentas existentes • Desenvolvimento de agentes de IA • Criar e evoluir agentes autônomos (ex: SDRs virtuais) • Automatizar etapas do funil comercial com IA • Testar, iterar e escalar agentes com base em performance real • Aumento de produtividade da operação • Identificar gargalos operacionais nos canais: • Franquias • Consultoria • Inside Sales • Implementar soluções que reduzam esforço manual e aumentem eficiência • Parceria com áreas de negócio • Trabalhar próximo aos líderes comerciais para entender necessidades reais • Traduzir problemas de negócio em soluções técnicas viáveis • Atuar como ponte entre tecnologia e operação • Gestão de performance e melhoria contínua • Definir métricas de sucesso (ex: conversão, tempo de ciclo, produtividade) • Rodar testes e experimentos contínuos • Escalar soluções com impacto comprovado

Role Description Starte deine neue Reise als Kursleiter / Lehrkraft im Bereich Pflege (m/w/d) – mit Bildungsleidenschaft, digitaler Lehre und gesellschaftlichem Mehrwert! - Du begleitest Deine Gruppe individuell, damit niemand im Lernprozess allein gelassen wird. - Du nutzt digitale Methoden und gestaltest abwechslungsreiche Kurse, damit Lernen motivierend und praxisnah bleibt. - Du analysierst Feedback und Lernerfolge, um unsere Bildungsangebote kontinuierlich weiterzuentwickeln. - Du erstellst Inhalte zu Themen wie Grundpflege, Hygiene, Kommunikation oder rechtlichen Grundlagen – damit das Gelernte direkt im Pflegealltag anwendbar ist. Qualifications - Mindestens drei Jahre Berufserfahrung im Pflegebereich – ob als Pflegefachkraft, Altenpfleger:in oder Gesundheits- und Krankenpfleger:in. - Offen für digitale Tools, lernst gern Neues und bringst eigene Ideen in die Gestaltung von Lernprozessen ein. - Erfahrung aus der Pflegepraxis. Requirements - Du willst Menschen weiterbringen – nicht mit grauer Theorie, sondern mit echtem Praxisbezug und deinem Wissen aus dem Pflegealltag. Benefits - Attraktives Gehalt mit Entwicklungsperspektive – basierend auf deiner Erfahrung und Expertise. - Remote-Arbeit: Dein Unterricht findet ausschließlich online statt. - Sinnstiftende Tätigkeit: Du hilfst Menschen dabei, beruflich Fuß zu fassen und ihr kreatives Potenzial zu entfalten. - Innovatives Umfeld: Du wirst Teil eines modernen, zukunftsorientierten Bildungsinstituts. - Mitgestaltung: Du entwickelst deinen Fachbereich strategisch mit und prägst ihn langfristig. Company Description Hochberg GmbH, Friedrichstraße 45, 70174 Stuttgart Ihr Ansprechpartner: Herr Nicolas Seifert Kontakt: +49 711 93964785 | nicolas.seifert@hochberginstitut.de

Title: Senior Data Scientist/Data Analyst Location: Schenectady, New York Job Description: Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. We get to build some of the most complex and compelling applications for our clients located across the country. We’re a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We’re growing like crazy, and if you’re looking for the next place to call home, hit us up for a beer or coffee. Who We're Looking For We’re on the hunt for a Senior Data Scientist/Data Analyst who thrives in building scalable financial systems and integrations. Someone who takes ownership, translates business needs into reliable solutions, and ensures data integrity across systems. If you’re strong in Python, SQL, NetSuite, Celigo, and APIs, this could be your next move. Primary Responsibilities - Act as the primary embedded developer supporting finance, operations, and asset management teams - Build and maintain Python-based solutions for financial systems and workflows - Own end-to-end delivery of business-critical tools, from requirements through deployment - Translate stakeholder needs into scalable technical solutions with a consultative approach - Manage data pipelines and ensure data integrity, accuracy, and reliability - Support financial visibility and cash management initiatives through data analysis and system improvements - Collaborate cross-functionally and drive progress across multiple in-flight projects Some Must-Haves: - 5+ years of experience in Data Scientist / Data Analyst or related roles. - Expert-level Python, including complex domain modeling, refactoring, and test development - Strong SQL experience for data querying and transformation - Hands-on experience with Celigo for building and troubleshooting integrations - Deep understanding of NetSuite data models, objects, and API/SuiteScript ecosystem - Working knowledge of Salesforce data models and integration patterns - Experience designing and consuming REST APIs - Familiarity with cloud services (e.g., AWS S3 or Azure Key Vault) - Proven experience building and maintaining data pipelines (ETL/ELT) Where We're Looking For It: - Schenectady, New York - Open to 100% Fully Remote Other Information The work hours will be approximately 9:00 am to 5:00 pm EST, depending on workload, with the occasional late night when a tight deadline calls for it. We work for security-conscious clients, thus background checks will be required. Position available immediately.