New york / internship / number of vacancies: 2. statistical data processing (data mining). artificial intelligence (ai), including generative ai. predictive modeling using machine learning and data science techniques. time-series modeling (arima and ...
Ingeniería de sistemas computación / otras industria de la empresa: servicios sonda es una empresa multinacional chilena fundada en el año 1974, en colombia se establece desde 1996 y tiene una amplia presencia latinoamericana. fundamnetalmnente es un...
Compartir oferta compartir oferta 1886532241 vence 20 ago 2025 2025-8-20 20/08/2025 job title: database migration engineer- latam location: bogotá, colombia (on-site) about the role we are looking for a database migration engineer to support the migration of databases and data warehouse systems to the cloud. this position plays a key role in designing and executing comprehensive migration strategies while ensuring performance, reliability, and minimal business disruption. key responsibilities 1. project planning & analysis - lead the end-to-end migration of databases and data warehouses to the cloud. - conduct technical evaluation and analysis of source systems. - define project scope, assess risks, and develop detailed migration plans. 2. migration design & execution - design and implement the architecture for target systems based on customer business needs. - execute migration tasks, including: - object migration (tables, views, procedures, triggers) - structure and schema replication - data mapping and transformation - business logic and stored procedure adaptation - performance tuning and optimization 3. cutover & validation - develop and manage cutover strategies, including rollback plans. - oversee system validation and customer acceptance testing. - ensure a seamless transition with minimal business impact. requirements education & experience - bachelor’s degree in computer science or a related field (or equivalent practical experience). technical skills - strong hands-on experience in database migration and data warehousing. ...
Lisbon / graduate / number of vacancies: 5 • statistical data processing (data mining)• artificial intelligence (ai), including generative ai• predictive modeling using machine learning and data science techniques• time-series modeling (arima and panel data models) and simulation models (monte carlo)• development, validation and audit of financial, risk, marketing and business-oriented models• r&d; projects requirements - recent graduates or final year students. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering, xgboost), statistical programming languages (sas, r, python, matlab), big data tools and platforms (hadoop, hive, etc.) and cloud platforms (aws, azure, gcp). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values an...
Data science consultant milan - categorie protette milan / graduate / number of vacancies: 2 announcement reserved for candidates belonging to protected categories (disabled workers l.68/99 art. 1). you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and quantitative support to business and r&d; projects. requirements - recent graduates or final-year students. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive, etc.) is desirable. - solid academic record. - postgraduate studies and/or specialized courses, especially in data science, quantitative finance, or similar, are an asset. - knowledge of other languages is desirable. - proactive attitude, maturity, responsibility, and strong work ethic. - ability to learn quickly. - ability to integrate easily into multidisciplinary teams. we offer the best environment to develop your talent: - working on high-profile consulting projects for the largest companies in their markets. - collaborating with top industry management on national and global challenges. - being part of an extraordinary team whose values and culture set industry standards. ongoing training, with approximately 10% of business turnover invested in training: - specialist knowledge courses, external expert course...
Importante plataforma líder de comercio electrónico en américa latina solicita: ingeniero de sistemas o a fines. **6** años de experiência en roles similares.** puesta productiva de modelos feature engineering técnicas de escalado y transformación de datos. transformers y embeddings. análisis de datos. capacidad de detectar datos extraños o anómalos. visualización de datos, métricas de centralidad y dispersión. distribución normal, binomial, logarítmica. manejo de etl - diseño de procesos robustos (fail safe) de movimientos de datos desde distintos orígenes (transaccional, streaming, nosql, etc) a distintos destinos (files, tablas dw, tablas hive). experiência big data - conocimiento del entorno google cloud (bigquery). contrato indefinido directo con la compañía. horario de 8:00 am a 5:30 pm lunes a viernes, salario: a convenir más todas las prestaciones de ley y otros beneficios. primeros 3 meses hibrida, después 100% remoto solo aplica personal que viva en bogotá. medellín o cali....
Press tab to move to skip to content link select how often (in days) to receive an alert: thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. purpose join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. the data science role contributes to the overall success of the fraud management group globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives. ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. accountabilities - champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. - collaborate with stakeholders including operations, analytics and data science partners, as well as scotia digital and it&s; partners to identify opportunities and drive business value in reducing fraud risks by leveraging data science - leverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modeling - collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels - create and apply model validation...
**responsabilidades e atribuições** - evaluar y planificar estrategias de ventas para tu cartera y mercado de actuación; - alcanzar las metas y kpis definidos por el gestor del área; - analizar informes mensuales del pipeline de ventas, con leads calificados, oportunidades ganadas y perdidas; - responsable de participar en eventos, ferias, congresos siempre que sea necesario; - informar anticipadamente sobre cualquier oportunidad de negocio, competencia e inteligencia comercial; - hacer seguimiento del rendimiento de tus ventas y la satisfacción de tus clientes, trabajando conjuntamente con captación de hoteles, implementation success y customer success para identificar oportunidades de mejora; - utilizar a diario sistemas y plataformas disponibles para cumplir plenamente con tu función (por ejemplo: salesforce, bi microsoft, office 365, entre otros, analisis de datos); - realizar otras actividades indicadas por el líder del área. **requisitos e qualificações** - experiência atención al cliente - experiência en el área de hotelería y/o turismo - buena comunicación - estratégico - perfil analítico - comprensión de lectura - trabajo en equipo - curiosidad - flexibilidad grupo hive, uno de los mayores grupos de tecnología hotelera en américa latina, consolida la experiência y conocimiento en distribución de **omnibees** con nuevas empresas capaces de generar mejores soluciones para la industria de viajes**:bee2pay**, una travel fintech que desarrolla soluciones de pagos exclusivas para el sector, y **niara**, que crea soluciones tecnológicas para potenciar y...
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d; projects. requirements - recent graduates or final-year students. - desirable knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar fields. - knowledge of other languages is desirable. - positive attitude, maturity, responsibility, and strong work ethic. - ability to learn quickly. - ability to integrate easily into multidisciplinary teams. what we offer the best environment to develop your talent: - work on high-profile consulting projects for the largest companies, leaders in their markets. - collaborate with top industry management on national and global challenges. - be part of an extraordinary team whose values and culture set industry standards. ongoing training plan, with approximately 10% of business turnover invested in training: - specialist knowledge courses, external expert courses, professional skills courses, and language courses. - last year, our staff received over 375,000 hours of training across more than 150 courses. - every senior consultant par...
Compartir oferta compartir oferta 1886532241 vence 20 ago 2025 2025-8-20 20/08/2025 job title: database migration engineer- latam location: bogotá, colombia (on-site) about the role we are looking for a database migration engineer to support the migration of databases and data warehouse systems to the cloud. this position plays a key role in designing and executing comprehensive migration strategies while ensuring performance, reliability, and minimal business disruption. key responsibilities 1. project planning & analysis - lead the end-to-end migration of databases and data warehouses to the cloud. - conduct technical evaluation and analysis of source systems. - define project scope, assess risks, and develop detailed migration plans. 2. migration design & execution - design and implement the architecture for target systems based on customer business needs. - execute migration tasks, including: - object migration (tables, views, procedures, triggers) - structure and schema replication - data mapping and transformation - business logic and stored procedure adaptation - performance tuning and optimization 3. cutover & validation - develop and manage cutover strategies, including rollback plans. - oversee system validation and customer acceptance testing. - ensure a seamless transition with minimal business impact. requirements education & experience - bachelor’s degree in computer science or a related field (or equivalent practical experience). technical skills - strong hands-on experience in database migration and data warehousing. - strong knowledge of relational an...
Company description blend is a premier ai services provider, committed to co-creating meaningful impact for its clients through the power of data science, ai, technology, and people. with a mission to fuel bold visions, blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. the company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. we believe that the power of people and ai can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. for more information, visit www.blend360.com we are seeking a to contribute to our next level of growth and expansion. job description you will be a key member of our data engineering team, focused on designing, developing, and maintaining robust data solutions on on-prem environments. you will work closely with internal teams and client stakeholders to build and optimize data pipelines and analytical tools using python, scala, sql, spark and hadoop ecosystem technologies. this role requires deep hands-on experience with big data technologies in traditional data centre environments (non-cloud). what you’ll be doing design, build, and maintain on-prem data pipelines to ingest, process, and transform large volumes of data from multiple sources into data warehouses and data lakes develop and optimize scala-spark and sql jobs for high-performance batch and real-time data processing ensure the scalability, reliability, and performance of data infrastructure in an...
Data scientist **requisition id:** 227536 thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. **purpose** join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. the data science role contributes to the overall success of the fraud management group globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives. ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. **accountabilities** + champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. + collaborate with stakeholders including operations, analytics and data science partners, as well as scotia digital and it&s; partners to identify opportunities and drive business value in reducing fraud risks by leveraging data science + leverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modeling + collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels + create and apply model validation strategies to measure model effec...
You will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d; projects. requirements - recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry ongoing training plan, with app...
Descripción general en hitss, nos complace invitar a profesionales y estudiantes avanzados/as interesados/as en ingeniería de datos a formar parte de nuestro equipo. buscamos un(a) ingeniero/a de datos con conocimientos sólidos en calidad de datos, bi, datawarehouse y herramientas de integración, que desee aportar su talento al desarrollo de soluciones innovadoras y eficientes que impulsen la toma de decisiones estratégicas. descripciÓn del perfil conocimientos en ingeniería de datos, calidad de datos, bi y bodegas de datos, datawarehouse, herramientas de integración de datos y flujos etl, visualización, consultas eficientes a bases de datos y big data según la tecnología requerida, la cual será especificada al momento del requerimiento. conocimientos en scrum y metodologías de agilismo, así como experiencia en proyectos bajo metodología cascada. preferente estudiante de ingeniería de sistemas en últimos semestres (7º o más), deseable postgrados en bi, big data, ingeniería de datos, ciencia de datos, bases de datos, desarrollo o arquitectura de información. funciones principales analizar fuentes de datos en bases de datos estructuradas y no estructuradas, así como archivos planos. diseñar soluciones de alto nivel para obtener prototipos como victorias tempranas. entender y calcular reglas de calidad para cada columna con el fin de cumplir los requerimientos del negocio. desarrollar procesos etl y flujos automáticos de datos, aplicando estándares avanzados de ingeniería. parametrizar procesos etl con variables para permitir modificaciones con mínimo impacto. rea...
Join to apply for the data science consultant bogotÁ role at management solutions 2 years ago be among the first 25 applicants join to apply for the data science consultant bogotÁ role at management solutions you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d; projects. requirements - final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - strong computer skills. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry man...
Descripción general estamos en la búsqueda de un(a) ingeniero(a) de datos con sólidos conocimientos en calidad de datos, bi, datawarehouse y herramientas de integración de datos, que desee aportar su talento en el diseño, desarrollo y mantenimiento de soluciones de datos que impulsen la toma de decisiones estratégicas en la organización. la persona seleccionada trabajará en conjunto con diferentes áreas del negocio para construir flujos de datos eficientes, confiables y alineados a los objetivos corporativos, utilizando metodologías ágiles y buenas prácticas en ingeniería de datos. responsabilidades principales: - analizar fuentes de datos en bases estructuradas, no estructuradas y archivos planos. - diseñar soluciones de alto nivel y prototipos que permitan generar victorias tempranas. - entender y calcular reglas de calidad por columna para cumplir requerimientos del negocio. - desarrollar procesos etl y flujos automáticos de datos utilizando tecnologías modernas. - parametrizar procesos etl con variables que permitan su modificación con bajo impacto. - ejecutar pruebas unitarias y de extremo a extremo (e2e) para validar desarrollos. - documentar los procesos desarrollados de forma clara para su entrega a producción. perfil requerido: profesional o estudiante de últimos semestres (7º en adelante) de ingeniería de sistemas, administración o carreras afines. deseable especialización o estudios de posgrado en analítica, bi, ciencia de datos, big data o áreas relacionadas. conocimientos sólidos en ingeniería de datos, calidad de datos, bi, bodegas de datos (datawareh...
Data scientist **requisition id:** 227536 thanks for your interest in scotiatech, scotiabank's new and innovative technology hub in bogota. join a purpose driven winning team that promotes creativity and innovation in a fast-paced environment, where we’re always committed to results, in an inclusive, diverse, and high-performing culture. **purpose** join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. the data science role contributes to the overall success of the fraud management group globally ensuring specific individual goals, plans, initiatives are executed/delivered in support of the team’s business strategies and objectives. ensure all activities conducted are within compliance of governing regulations, internal policies, and procedures. **accountabilities** + champions a customer focused culture to deepen client relationships and leverage broader bank relationships, systems and knowledge. + collaborate with stakeholders including operations, analytics and data science partners, as well as scotia digital and it&s; partners to identify opportunities and drive business value in reducing fraud risks by leveraging data science + leverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modeling + collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels + create and apply model validation strategies to measure model effec...
Descripción general formación: ingeniero de sistemas, ingeniero de datos, ingeniero electrónico, especialista en analítica de datos y certificaciones de gobierno como dama y arquitectura de nube. experiencia: se requiere profesional con experiencia de 1 año en la construcción de arquitecturas de datos e implementación de gobierno de datos. diseño de componentes tecnológicos para soluciones empresariales, definición de arquitectura de soluciones y de referencia con un enfoque en tecnologías en la nube, despliegue de modelos (herramientas de contenedorización como docker, arquitectura de datos moderna cloud (snowflake, azure, aws y gcp)arquitectura big data (sql, hadoop, spark, nifi, hive, kafka, druid/ hbase, superset , zeppelin, scala), diseño y modelado de dwh y repositorios de datos con enfoques data lakehouse, data mart, data mesh y metodología kimball. motores de base datos: postgresql, yellowbrick, oracle, netezza, teradata, sql server, etl odi, talend, pentahoo, integration services data stage. construcción de procesos automatizados de visualización de datos (reportes, indicadores) explotando las estructuras dimensionales o los cubos. bases de datos nosql como mongodb, dynamodb, cassandra, couchbase. control de versiones y metodologías: git, scrum. horario: lunes a jueves de 8:00 am a 6:00 pm y viernes de 8:00 am a 5:00 pm tipo de contrato: indefinido modalidad: teletrabajo. formación: ingeniero de sistemas, ingeniero de datos, ingeniero electrónico, especialista en analítica de datos y certificaciones de gobierno como dama y arquitectura de nube. experie...
You will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d; projects. requirements - recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. a master's degree qualification will be taken into account when determining salary conditions. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whos...
Toronto / graduate / number of vacancies: 2 you will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d; projects. requirements - recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the ind...
Why valtech? we’re advisors, visionaries, creative and techies. we embrace all things digital. we talk to each other. we have fun. we love our clients. we’re looking ahead • we are global why valtech? we’re the experience innovation company - a trusted partner to the world’s most recognized brands. to our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. the opportunity at valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. as a data microstrategy engineer you are passionate about experience innovation and eager to push the boundaries of what’s possible. you bring 2+ years of experience, a growth mindset and a drive to make a lasting impact. you will thrive in this role if you are: - a curious problem solver who challenges the status quo - a collaborator who values teamwork and knowledge-sharing - excited by the intersection of technology, creativity and data - experienced in agile methodologies and consulting (a plus) role responsibilities: - analyze a collection of raw data sets to create a meaningful impact on large enterprise clients while maintaining a high degree of scientific rigor and discipline. - engineer data pipelines and products to help stakeholders make and execute data-driven decisions. - communicate analytical fin...
Miami / graduate / number of vacancies: 2 • statistical data processing (data mining) • artificial intelligence (ai), including generative ai • predictive modeling using machine learning and data science techniques • time-series modeling (arima and panel data models) and simulation models (monte carlo) • development, validation, and audit of financial, risk, marketing, and business-oriented models • r&d; projects requirements - recent graduates or final year students. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering, xgboost), statistical programming languages (sas, r, python, matlab), big data tools and platforms (hadoop, hive, etc.), and cloud platforms (aws, azure, gcp). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility, and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working on high-profile consulting projects for the largest companies, leaders of their markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the indus...
You will be working in key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models and quant support to the business and r&d; projects. requirements - recent graduates or final year students from disciplines relating to mathematics, physics, statistics, econometrics or other quantitative fields. a master's degree qualification will be taken into account when determining salary conditions. - postgraduate studies and/or specialised courses are an asset, especially in data science, quantitative finance or similar. - should desirably have knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab) and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working in the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values ...
Archive (archive.com) is the ultimate ai-first influencer marketing platform. we build software and agents to help influencer marketers grow revenues faster. over 2,000+ innovative brands like l’oreal, glossier, revlon, olipop,quest nutrition, parade, and liquid death use our software to streamline their influencer marketing initiatives, and we’re backed by top investors like stripe, tiger, battery ventures, and founders of companies like ramp, hugging face, and applied intuition (see techcrunch). we are looking for talented sales professionals to join our founding team in bogotá as we establish our presence in latin america. this is a unique opportunity to be part of our initial team in colombia, working in a high-growth environment with significant potential for career advancement. requirements - 6-18 months of sdr/bdr experience - native-level english proficiency - strong process orientation with exceptional crm management skills - start-up mentality of a self-driven work ethic, scrappiness, and trying new approaches and tactics. - ability to work in our bogotá office bonus qualifications - account executive experience in saas or e-commerce key responsibilities - drive the full sales cycle for smb accounts from prospect to close, managing both inbound leads and developing outbound opportunities - conduct effective discovery calls to understand potential clients' needs and pain points - deliver compelling product demonstrations tailored to smb prospect requirements - support client onboarding processes to ensure smooth transitions and successful implementations - ...
You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and quantitative support to the business and r&d; projects. requirements - recent graduates or final year students. - desirable knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools and platforms (hadoop, hive, etc.). - solid academic record. - strong computer skills. - postgraduate studies and/or specialized courses are an asset, especially in data science, quantitative finance, or similar fields. - knowledge of other languages is desirable. - get-up-and-go attitude, maturity, responsibility, and strong work ethic. - strong ability to learn quickly. - able to integrate easily into multidisciplinary teams. we offer the best environment to develop talent we offer you the possibility to join a firm that provides all you need to develop your talent to the fullest: - working on the highest-profile consulting projects in the industry, - for the largest companies, leaders of their respective markets, - alongside top industry management as they face challenges at the national and global level, - as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry. ongoing training plan approximately 10% of business turnover is spent on training: - specialist knowledge courses, extern...
Estambul / graduate / number of vacancies: 2 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scoring models, and providing quantitative support to business and r&d; projects. requirements - recent graduates or final year students. - knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools/platforms (hadoop, hive) is desirable. - solid academic record. - postgraduate studies and/or specialized courses in data science, quantitative finance, or similar are an asset. - knowledge of additional languages is a plus. - proactive attitude, maturity, responsibility, and a strong work ethic. - ability to learn quickly. - ability to integrate easily into multidisciplinary teams. we offer the best environment to develop your talent: - work on high-profile consulting projects for leading companies in their markets. - collaborate with top industry management facing national and global challenges. - be part of a professional team with values and culture benchmarked in the industry. ongoing training plan, with approximately 10% of business turnover invested in training: - specialist courses, external expert courses, professional skills, and language courses. - last year, staff received over 375,000 hours of training across more than 150 courses. clear career progression: - internal promotio...
En factorit estamos buscando a un **data scientist** quien estará encargado de la adquisición, el almacenamiento, la transformación, gestión y análisis de datos de origen telemático ¿qué esperamos de nuestros **data scientist** ? - conocimientos en sql. - desarrollo de etl's utilizando pentaho o alguna herramienta de diseño estilo drag and droop. - conocimientos básicos en ecosistema hadoop - hive. - experiência en linux. - experiência en análisis de información (deseable información de origen telemática). - nível avanzado de python en el stack para ciencia de datos (pandas, numpy, matplotlib, selenium, beautifulsoup). - conocimientos en desarrollo de modelos de machine learning. - manejo de herramientas de visualización (deseable tableau). - deseable buen manejo de excel.. ¿qué encontrará al trabajar con nosotros? - la oportunidad de integrarse a una empresa líder en servicios de tecnología. - un equipo diverso con presencia en chile, perú, colombia, usa, ecuador, argentina, bolivia, méxico. - un puesto de tiempo completo. - trabo 100% remoto. tipo de puesto: tiempo completo pregunta(s) de postulación: - ¿cuál es su expectativa salarial? - ¿qué disponibilidad tiene? - ¿cuántos años de experiência tiene en el cargo?...
Copenhague / graduate / number of vacancies: 2 you will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (monte carlo), review of credit rating and scori...
Columbus / graduate / number of vacancies: 5. statistical data processing (data mining). artificial intelligence (ai), including generative ai. predictive modeling using machine learning and data science techniques. time-series modeling (arima and pa...
Cree una alerta de empleo y reciba nuevas ofertas que se adaptan a su perfil desde más de 2550 sitios web de empleo