1 week ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. epam is a leading global provider of digital platform engineering and development services. we are committed to having a positive impact on our...
Data engineer ii (@remote,chile and colombia) join to apply for the data engineer ii (@remote,chile and colombia) role at offerup data engineer ii (@remote,chile and colombia) 2 days ago be among the first 25 applicants join to apply for the data eng...
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 effectiveness, conduct a/b testing, and make ongoing enhancem...
Perfil: estudiantes de último semestre o recién graduados en matemáticas, física, estadística, econometría, ingeniería u otros estudios con fuerte componente cuantitativo. valorable la realización de estudios específicos de postgrado en especial data science, finanzas cuantitativas o similar. valorable conocimiento de técnicas de modelización (logit, glm, series temporales, árboles de decisión, clustering, etc.), lenguajes de programación estadística (sas, r, python, matlab, etc.) y herramientas y plataformas de big data (hadoop, mongodb, cassandra, pig, hive, etc.). nivel alto de inglés. se valorará conocimiento de otros idiomas. disponibilidad para viajar. otros aspectos: sólida trayectoria académica, dinamismo, voluntad de superación, capacidad de trabajo, madurez, responsabilidad y facilidad de integración en equipos de trabajo multidisciplinares. objetivo del cargo: – tratamiento estadístico de datos (data mining). – modelización predictiva mediante técnicas de machine learning y data science. – modelización de eventos temporales (series temporales, modelos arima). – desarrollo de modelos de simulación (monte carlo). revisión y validación de modelos de rating y scoring, raroc y parámetros de riesgo. – apoyo matemático al negocio: desarrollo de algoritmos, estadística y probabilidad. – proyectos de id. ciudad: bogotá fecha límite para aplicar: 15 de febrero de 2017...
2 days ago be among the first 25 applicants epam is a leading global provider of digital platform engineering and development services. we are committed to having a positive impact on our customers, our employees, and our communities. we embrace a dynamic and inclusive culture. here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. no matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. we are seeking a skilled and motivated senior data integration engineer to join our team. in this role, you will focus on designing and implementing data integration solutions, optimizing etl pipelines, and conducting advanced data analysis. you will collaborate with stakeholders to analyze requirements and propose effective solutions, contributing to impactful projects in a dynamic environment. responsibilities - build and maintain etl pipelines using spark-based dataswarm technology to ensure efficient data integration - perform ad-hoc data analysis by writing complex sql queries to address business needs - communicate directly with customers to gather requirements, analyze needs, and recommend optimal solutions and approaches - collaborate with cross-functional teams to ensure seamless data integration and delivery of high-quality results requirements - at least 3 years of experience as a data integration engineer - proficiency in sq...
Job description we are seeking an experienced professional to join our team as a senior data integration engineer. in this role, you will be responsible for designing and implementing data integration solutions, optimizing etl pipelines, and conducting advanced data analysis. you will collaborate with stakeholders to analyze requirements and propose effective solutions, contributing to impactful projects in a dynamic environment. - design and implement data integration solutions using spark-based dataswarm technology. - optimize etl pipelines for efficient data processing. - conduct advanced data analysis by writing complex sql queries. required skills and qualifications to be successful in this role, you will need: - at least 3 years of experience as a data integration engineer. - proficiency in sql for querying and managing relational databases. - experience working with apache hive for data warehousing and querying. - hands-on expertise with etl/elt solutions for data transformation and integration. - strong programming skills in python for data processing and automation. benefits we offer a range of benefits, including: - international projects with top brands. - opportunities to work with global teams of highly skilled, diverse peers. - healthcare benefits. - employee financial programs. - paid time off and sick leave. - upskilling, reskilling and certification courses. - unlimited access to the linkedin learning library and 22,000+ courses. - global career opportunities. - volunteer and community involvement opportunities. - epam employee groups....
2 days ago be among the first 25 applicants epam is a leading global provider of digital platform engineering and development services. we are committed to having a positive impact on our customers, our employees, and our communities. we embrace a dynamic and inclusive culture. here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. no matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. we are seeking a skilled and motivated senior data integration engineer to join our team. in this role, you will focus on designing and implementing data integration solutions, optimizing etl pipelines, and conducting advanced data analysis. you will collaborate with stakeholders to analyze requirements and propose effective solutions, contributing to impactful projects in a dynamic environment. responsibilities - build and maintain etl pipelines using spark-based dataswarm technology to ensure efficient data integration - perform ad-hoc data analysis by writing complex sql queries to address business needs - communicate directly with customers to gather requirements, analyze needs, and recommend optimal solutions and approaches - collaborate with cross-functional teams to ensure seamless data integration and delivery of high-quality results requirements - at least 3 years of experience as a data integration engineer - proficiency in sql ...
**descripción empresa**: el servicio de empleo operado por comfama es la plataforma que conecta a las personas con las empresas que ofrecen oportunidades laborales y buscan atraer el talento que contribuya a su crecimiento y consolidación. las vacantes publicadas por el servicio de empleo comfama, corresponden a oportunidades de empleo ofrecidas por empresas de diversos sectores, ubicadas en medellín y antioquia. **funciones del cargo**: importante empresa del sector de consultoría, solicita para su equipo de trabajo personal con o sin experiência para desempeñar el cargo de consultor/a de data science bilingüe con o sin experiência. **formación académica**: pregrado en física, estadística, matemáticas, y carreras relacionadas con enfoque cuantitativo. **funciones específicas**: - incorporación e integración en equipos de trabajo realizando funciones de: - tratamiento estadístico de datos (data mining y knowledge discovery) - modelización predictiva mediante técnicas de machine learning y data science - modelización de eventos temporales (series temporales, modelos arima) - desarrollo de modelos de simulación (monte carlo) - revisión y validación de modelos regulatorios en el ámbito financiero - apoyo quant al negocio: desarrollo de algoritmos, estadística y probabilidad - proyectos de i+d. **conocimientos**: - recién titulados o estudiantes de último curso de grado en matemáticas, física, estadística, econometría, ingeniería u otros estudios con fuerte componente cuantitativo. - sólida trayectoria académica. - nível de inglés avanzado b1 mínimo. - manejo ...
Colombia data science consultant bogotÁ bogotá / graduate / number of vacancies: 5 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 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 ...
Press tab to move to skip to content linkselect 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.purposejoin 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.accountabilitieschampions 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 scienceleverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modelingcollaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channelscreate and apply model validation strategies to measure model effectivene...
**descripción**: misión: desplegar modelos de aprendizaje automático, de acuerdo con el trabajo del data scientist, desplegando transformaciones de datos usando streaming, batch-processing o creando servicios, para garantizar la implementación de un sistema inteligente. **responsabilidades**: creación de tuberías automáticas de datos orientados a machine learning, analizando y entendiendo el modelo del data scientist, analizando la manera para realizar el despliegue del modelo, por medio de herramientas de streaming o batch-processing que se integren con la aplicación de la empresa; determinando el origen de los datos y el target final de la tubería, para crear descripciones y predicciones usando interfaces de usuario o acciones automáticas en las apps de la empresa. crear sistemas de observabilidad de los modelos de machine learning desplegados, esto por medio de métricas diseñadas por el ml engineer que permitan ver y reducir falsos positivos o falsos negativos, vulnerabilidades y el performance del modelo desplegado, para validar el resultado de modelos de ml en producción. crear tuberías de versionamiento para el código y datos del equipo, por medio de herramientas de versionamiento de código y datos, teniendo en cuenta la cultura mlops, para facilitar el despliegue automático del código de los data scientists e engineers de la compañía. realizar análisis estadísticos y ajustes, teniendo en cuenta el método científico, para asegurar la validación de hipótesis. **requisitos**: **educación nível de estudios**: ingeniero de sistemas, profesional en ciencias de la...
**¿quieres emprender un viaje con propósito? **: en sofka tenemos uno claro: "cuidar nuestro entorno multiplicando experiências exitosas". ¡alista tu mochila y sé parte de esta gran aventura! **¿qué buscamos? **: personas apasionadas por generar un impacto significativo, manteniendo un alto grado de disciplina y rigor científico, por medio de **soluciones** que generen **valor**. con capacidad de aportar a la **construcción tecnologías líderes**. si tienes con al menos **dos (2) aÑos** de experiência como **científico de datos **o afines, y cuentas con los **siguientes conocimientos**: - matemáticas, álgebra y estadística - bases de datos relacionales y documentales - programación en python - en al menos un proveedor de servicios en la nube (aws, azure y/o gcp) - librerías estadísticas y de aprendizaje automático, junto con la capacidad de aplicarlas adecuadamente a problemas comerciales (tensorflow, scikit-learn y/o pytorch) - dominio de algún ide de programación (visual studio code, pycharm, etc.) **¡esta oportunidad es para ti! ** **deseable**: - experiência en procesamiento de lenguaje natural, especialmente en señales y ondas de audio. - programación orientada a objetos. - manejo de herramientas de versionamiento (git). - experiência con metodologías ágiles como scrum - lenguajes de programación como r, scala y/o sas. - ambientes de big data como hive, hadoop, impala y/o spark. - herramientas de visualización como tableau o excel, power bi y otros. **¡presÉntate! **: **condiciones**: - **contrato a término indefinido**, nos encantan la...
En factorit estamos buscando a un product owner que tenga capacidad para trabajar en un entorno rápido y cambiante, proactivo, empoderado y con capacidad de resolución de problemas. ¿le pasas la voz? ¿qué esperamos de nuestro product owner? profesional en ingeniería de sistemas, electrónica, telecomunicaciones y/o afines, experiência mínima de 3 años en inteligencia de negocios. aplicación de metodologías ágiles, entorno tecnológico para el desarrollo de analítica descriptiva (bi), negocio telcos, conocimiento en ofimática, bases de datos, etl, visualización, herramientas de analítica y big data, certificaciones: product owner conocimientos en sql en motores de bd netezza, oracle, teradata, sqlserver. conocimientos basicos en odi, datamanager, talend, integration services, dts. visualizadores como cognos, tableu, power bi. big data (hadoop, nifi, spark, kafka, hive, druip, hbase, superset, zeppelin) funciones: generar sinergias y canales eficaces de gestión con equipos scrum, agile coach, equipos de desarrollo y otros que sean pertinentes para el desarrollo de proyectos. promover la comprensión, adaptación y trabajo en la organización bajo los modelos y metodologías ágiles. desarrollar los procesos de relacionamiento y entendimiento de las necesidades y requerimientos expresados por los clientes, brindando asesoría metodológica. crear, priorizar y gestionar el product backlog definir los criterios de aceptación de los entregables manejar las expectativas de los stakeholders generar y mantener el release plan asegurar el entendimiento del equipo respecto a...
**nuestro cliente** importante empresa de servicios en la ciudad de cali **descripción de la vacante** **desarrollador full stack bi!!!!!! necesitamos desarrollador full apasionado por los datos y la tecnología. buscamos que tengas al menos 3 años de experiência trabajando en desarrollo de software en entornos start-up o corporativos, sí tienes proyectos que puedas presentar sería un plus. estamos trabajando en ser muy agiles, por eso buscamos que tengas conocimiento en metodologías agiles. requerimos que seas proactivo en el diseño, construcción e integración de datos de diferentes fuentes y administración big data, con dominio de arquitecturas de software y almacenamiento masivo y experiência en construcción de etl sobre grandes conjuntos de datos. conocimientos en hadoop, mapreduce, hive, pig, data streaming, nosql. experiência en sql, php, lenguajes estadísticos (python o r), técnicas de manipulación de datos, técnicas de machine learning. // para garantizar que trabajamos de forma eficiente, nos encantaría que tuvieras experiências en herramientas para control de versiones como github o svn. ** **requisitos** ingeniero de sistemas o carreras afines 3 años de experiência en el campo **condiciones salariales** a convenir con todas las prestaciones de ley **horarios laborales** lunes a viernes 7 am a 5 pm...
En mercado libre estamos democratizando el comercio y los servicios financieros para transformar la vida de las personas de américa latina. ¡sumate a este propósito! imagínate emprendiendo proyectos desafiantes, dinámicos e innovadoresy siendo responsable de: crear, desarrollar e implementar soluciones nuevas y escalables para problemáticas transversales a la organización, con base en técnicas de estadística, data science y machine learning. obtener, procesar y analizar grandes volúmenes de datos provenientes de diversas fuentes y extraer insights de interés. diseñar, entrenar y evaluar modelos de machine learning capaces de adaptarse a entornos productivos complejos y establecer las mejores prácticas de desarrollo de software, a fin de asegurar procesos eficientes y automatizados. participar de reuniones con diferentes stakeholders, interpretar los requerimientos y proveer herramientas de visualización que simplifiquen la comunicación con interlocutores, tanto técnicos como de negocio. interactuar con los equipos de ingeniería al momento de desplegar, monitorear y mantener los modelos en producción. requisitos: contar con 4 años de experiencia trabajando en proyectos de machine learning o data science. haber participado en la implementación de soluciones con machine learning en entornos productivos. poseer conocimientos en tecnologías vinculadas a machine learning; librerías del stack, como python, numpy, pandas, scikit-learn, matplotlib; frameworks de deep learning, como tensorflow, keras, pytorch, y bases de datos relacionales y distribuidos, como redshift, ter...
Requisition id: thanks for your interest in scotiatech, scotiabanks 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 stylemargin:top:0.0cm;margin:bottom:0.0cm: : 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 and 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...
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...
En bairesdev® llevamos 15 años liderando proyectos de tecnología para clientes como google, rolls-royce y las startups más innovadoras de silicon valley. actualmente, contamos con un equipo de 4000 profesionales conformado por el top 1% de la industria trabajando de forma remota desde más de 50 países. al postularte a esta vacante, estarás dando el primer paso en un proceso que va más allá de lo convencional: buscaremos conocer en profundidad tus habilidades, intereses y expectativas con el objetivo de realizar una búsqueda personalizada y encontrar el rol ideal para ti en bairesdev. buscamos excelentes ingenieros analíticos senior para unirse al equipo de investigación y desarrollo (i+d) de bairesdev. como ingeniero analítico, serás responsable de organizar y proporcionar datos analíticos fáciles de consumir para múltiples contextos dentro de la empresa. actividades principales: - crear y mantener canalizaciones de datos tanto para toda la empresa como para áreas específicas. - ayudar a crear y mantener paneles de visualización de datos corporativos. - entender las reglas de negocio que modelan el negocio y traducirlas a código (sql/python). - identificar oportunidades para organizar mejor los datos y la información en toda la empresa. - colaborar con los gestores de productos de datos para crear productos de datos asombrosos. - ayudar a difundir una mentalidad basada en datos y a mejorar la alfabetización de datos. ser un evangelizador de datos. - como senior, ayudar a desarrollar a otros en el equipo para crecer en habilidades blandas y duras. ¿qué buscamo...
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 strategies to measure ...
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 an exceptional team member to join our growing team in bogotá, colombia. as a customer success manager at archive, you will drive customer satisfaction, retention, and growth while working directly with our diverse portfolio of brands. the ideal candidate will be passionate about helping customers maximize value from our platform while contributing to the development of our customer success organization. requirements - 2-5+ years of customer success management experience - 1+ years in saas or e-commerce industry experience - native-level english proficiency in both verbal and written communication - demonstrated track record of managing and growing customer relationships - strong analytical skills with experience in tracking and improving customer success metrics - high level of self-motivation and drive with a proven ability to work independently - natural curiosity and desire to understand customer needs and business objectives - experience with customer success tools and crm platforms - strong problem-solving abilities and attention to detail - abilit...
At bairesdev®, we've been leading the way in technology projects for over 15 years. we deliver cutting-edge solutions to giants like google and the most innovative startups in silicon valley. our diverse 4,000+ team, composed of the world's top 1% of tech talent, works remotely on roles that drive significant impact worldwide. when you apply for this position, you're taking the first step in a process that goes beyond the ordinary. we aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. we are looking for outstanding senior data analysts to join bairesdev’s research & development team (r&d;). this professional will use data to help the business meet its objectives, mainly by generating hypotheses and using data to validate them and generate insights. help to improve data literacy and the overall analytical environment across the company. what you will do: - understand, locate and propose new process improvement opportunities. - generate hypotheses and set up tests to validate them using data. - identify, analyze, and interpret trends or patterns in complex data sets. - interpret data, analyze results using statistical techniques and provide ongoing reports. - participate actively in discussions and decisions regarding the whole data analysis chapter. - collaborate with data product managers to build excellent data products. - work with management to prioritize business and information needs. - help to spread a data-driven mindset and to improve data literacy. be a data evangelist. he...
**descripción empresa**: el servicio de empleo operado por comfama es la plataforma que conecta a las personas con las empresas que ofrecen oportunidades laborales y buscan atraer el talento que contribuya a su crecimiento y consolidación. las vacantes publicadas por el servicio de empleo comfama, corresponden a oportunidades de empleo ofrecidas por empresas de diversos sectores, ubicadas en medellín y antioquia. **funciones del cargo**: empresa dedicada a la construcción de obras de ingeniería civil, requiere para su equipo de trabajo, consultor/a de data science, con o sin experiência. **nível de formación**: profesional en ciencias, físicas, estadísticas, matemáticas, data o recién titulados o estudiantes de último curso de grado en matemáticas, físicas, estadística, econometría, ingeniería u otros estudios con fuerte componente cuantitativo. **funciones**: - incorporación e integración en equipos de trabajo realizando funciones de tratamiento estadístico de datos (data mining y knowledge discovery). - modelización predictiva mediante técnicas de machine learning y data science. - modelización de eventos temporales (series temporales, modelos arima). - desarrollo de modelos de simulación (monte carlo). - revisión y validación de modelos regulatorios en el ámbito financiero. - apoyo quant al negocio: desarrollo de algoritmos, estadística y probabilidad. - proyectos de i+d. **conocimientos**: - nível de inglés avanzado. - valorable la realización de estudios específicos de postgrado, en especial data science, finanzas cuantitativas o similar. - manejo avan...
En bairesdev® llevamos 15 años liderando proyectos de tecnología para clientes como google, rolls-royce y las startups más innovadoras de silicon valley. actualmente, contamos con un equipo de 4000 profesionales conformado por el top 1% de la industria trabajando de forma remota desde más de 50 países. al postularte a esta vacante, estarás dando el primer paso en un proceso que va más allá de lo convencional: buscaremos conocer en profundidad tus habilidades, intereses y expectativas con el objetivo de realizar una búsqueda personalizada y encontrar el rol ideal para ti en bairesdev. buscamos excelentes ingenieros analíticos senior para unirse al equipo de investigación y desarrollo (i+d) de bairesdev. como ingeniero analítico, serás responsable de organizar y proporcionar datos analíticos fáciles de consumir para múltiples contextos dentro de la empresa. actividades principales: - crear y mantener canalizaciones de datos tanto para toda la empresa como para áreas específicas. - ayudar a crear y mantener paneles de visualización de datos corporativos. - entender las reglas de negocio que modelan el negocio y traducirlas a código (sql/python). - identificar oportunidades para organizar mejor los datos y la información en toda la empresa. - colaborar con los gestores de productos de datos para crear productos de datos asombrosos. - ayudar a difundir una mentalidad basada en datos y a mejorar la alfabetización de datos. ser un evangelizador de datos. - como senior, ayudar a desarrollar a otros en el equipo para crecer en habilidades blandas y duras. ¿qué buscamo...
At bairesdev®, we've been leading the way in technology projects for over 15 years. we deliver cutting-edge solutions to giants like google and the most innovative startups in silicon valley. our diverse 4,000+ team, composed of the world's top 1% of tech talent, works remotely on roles that drive significant impact worldwide. when you apply for this position, you're taking the first step in a process that goes beyond the ordinary. we aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. we are looking for outstanding senior data analysts to join bairesdev’s research & development team (r&d;). this professional will use data to help the business meet its objectives, mainly by generating hypotheses and using data to validate them and generate insights. help to improve data literacy and the overall analytical environment across the company. what you will do: - understand, locate and propose new process improvement opportunities. - generate hypotheses and set up tests to validate them using data. - identify, analyze, and interpret trends or patterns in complex data sets. - interpret data, analyze results using statistical techniques and provide ongoing reports. - participate actively in discussions and decisions regarding the whole data analysis chapter. - collaborate with data product managers to build excellent data products. - work with management to prioritize business and information needs. - help to spread a data-driven mindset and to improve data literacy. be a data evangelist. he...
En bairesdev® llevamos 15 años liderando proyectos de tecnología para clientes como google, rolls-royce y las startups más innovadoras de silicon valley. actualmente, contamos con un equipo de 4000 profesionales conformado por el top 1% de la industria trabajando de forma remota desde más de 50 países. al postularte a esta vacante, estarás dando el primer paso en un proceso que va más allá de lo convencional: buscaremos conocer en profundidad tus habilidades, intereses y expectativas con el objetivo de realizar una búsqueda personalizada y encontrar el rol ideal para ti en bairesdev. buscamos excelentes ingenieros analíticos senior para unirse al equipo de investigación y desarrollo (i+d) de bairesdev. como ingeniero analítico, serás responsable de organizar y proporcionar datos analíticos fáciles de consumir para múltiples contextos dentro de la empresa. actividades principales: - crear y mantener canalizaciones de datos tanto para toda la empresa como para áreas específicas. - ayudar a crear y mantener paneles de visualización de datos corporativos. - entender las reglas de negocio que modelan el negocio y traducirlas a código (sql/python). - identificar oportunidades para organizar mejor los datos y la información en toda la empresa. - colaborar con los gestores de productos de datos para crear productos de datos asombrosos. - ayudar a difundir una mentalidad basada en datos y a mejorar la alfabetización de datos. ser un evangelizador de datos. - como senior, ayudar a desarrollar a otros en el equipo para crecer en habilidades blandas y duras. ¿qué buscamo...
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 scienceleverage distributed computing tools (e.g. beam, bigquery, hive, spark) for analysis, data mining and modelingcollaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channelscreate and apply model validation strategies to measure mod...
New york / 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; projectsrequirementsrecent 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 offerthe best environment to develop talentwe 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 industryongoing training p...
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...
Warsaw / graduate / number of vacancies: 5 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 techniqu...
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