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...
A career in ibm consulting is rooted by long-term relationships and close collaboration with clients across the globe. you'll work with visionaries across multiple industries to improve the hybrid cloud and ai journey for the most innovative and valu...
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; 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 and cor...
About truelogic at truelogic we are a leading provider of nearshore staff augmentation services headquartered in new york. for over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. our team of 600+ highly skilled tech professionals, based in latin america, drives digital disruption by partnering with u.s. companies on their most impactful projects. whether collaborating with fortune 500 giants or scaling startups, we deliver results that make a difference. by applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. we aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future. our client an it company dedicated to building innovative and scalable solutions that optimize data processing and analytics, fostering a culture of continuous learning, collaboration, and proactive problem-solving. job summary we are looking for a semi-senior pyspark data engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. this role is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team. responsibilities - design, develop, and optimize data pipelines using pyspark and apache spark. - integrate and process data from ...
**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 avanz...
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 ...
Job description: "> we are seeking a seasoned business analytics consultant to join our team. as a key member of our performance analytics practice, you will work closely with clients across various industries to deliver actionable insights and drive business growth. "> key responsibilities: "> "> - manage deliverable development and workstreams on projects across a range of industries and problem statements. "> - contribute to/develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value. "> - manage working relationships with client managers, and act as a trusted and reliable partner. "> "> requirements: "> basic qualifications: "> "> - undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics projects. "> - experience managing clients or internal stakeholders. "> - able to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence. "> - data and analytics experience: data analytics software (e.g., python, r, sql, sas), building, managing, and maintaining database structures. "> - advanced word, excel, and powerpoint skills. "> - able to perform multiple tasks in a fast-paced, deadline-driven environment. "> - effective communication in english and the local office language. "> - eligible to work in the country where applying and for travel visas as required. "> "> preferred qualifications: "> "> - experience managing tas...
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; 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 and corporate culture are a benchmark for the i...
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; 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 offerthe 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 industryongoing ...
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 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 las fu...
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 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) is desirable. solid academic record. knowledge of other languages is a plus. 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 provide opportunities to work on high-profile consulting projects for leading companies and alongside top industry management, within an extraordinary team that values professional growth and a strong corporate culture. ongoing training plan, with approximately 10% of business turnover spent on training, including 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. career development clearly defined career plan with internal promotion based solely on merit. partnership-based management model offering professionals the opportunity to become part of the firm’s group of partners. additional experiences strong relationships with prestigious universities. community support activi...
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...
Join to apply for the senior data software engineer role at epam systems 2 weeks ago be among the first 25 applicants join to apply for the senior data software engineer role at epam systems we are looking for a senior data software engineer to become part of our remote team. the selected individual will be crucial in deploying innovative analytical solutions with spark/pyspark, nosql, and other big data technologies, and incorporating new features into cloud solutions (aws, gcp, azure). collaborating closely with product and engineering teams, you will grasp their requirements and influence decision-making. this role offers a thrilling chance to impact our company's development and prosperity. leverage your skills with us — apply today! responsibilities deploy innovative analytical solutions with spark/pyspark, nosql, and other big data technologies collaborate with product and engineering teams to grasp requirements and influence decision-making sustain collaboration with architects, technical leads, and key individuals across various functional groups analyze business issues and technical environments to implement high-quality technical solutions engage in code review and test solutions to align with best practice specifications author project documentation requirements minimum of 3 years engineering experience in data management, data storage, data visualization, operation, and security proficiency in at least one programming language: python, java, scala, or kotlin strong experience with sql and familiarity with big data tools...
This role is part of a dynamic data operations team at iqvia, focused on analyzing and resolving data discrepancies, writing and troubleshooting sql queries, and supporting data quality across healthcare analytics platforms. the team plays a critical role in ensuring data integrity and operational efficiency, directly contributing to iqvia’s mission of advancing healthcare through data-driven insights. responsibilities • perform data analysis and troubleshooting on open incident / issue • explore the data and understand if any discrepancy is found • document, communicate and analyze data discrepancy. • knowledge of operational processes (e.g. itil) • identify any issue on programming code and provide the technical solution/workaround. • effectively articulate findings or results, data trends and able to come up conclusions. • create sql database queries to verify published data requests, retrieve specific data sets and results as needed for validation purposes. qualifications and education requirements bachelor’s degree in computer science/information technology/engineering or equivalent. required qualifications include hands-on experience with technologies: databricks hadoop spark (scala-based for reading and understanding code) pyspark python snowflake kubernetes 2-3 years sql programming and writing queries preferred qualifications : hands on experience with technologies: hive, impala, dbeaver, kafka, cml, java healthcare knowledge • demonstrates strong problem solving and business analytical skills. • demonstrates strong understanding of complex concepts and pro...
Ecuador / 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 industry ongoing training plan, with approximately ...
1 month ago be among the first 25 applicants get ai-powered advice on this job and more exclusive features. about jobgether: jobgether is a talent matching platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through ai-driven job matching. one of our companies is currently looking for a senior data engineer in latam . we are seeking a highly experienced senior data engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. you will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. this is a hands-on position involving everything from architecture to deployment and performance tuning. if you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team. accountabilities: design and maintain scalable backend systems and data pipelines for batch and real-time processing own full project lifecycles from architecture through deployment and monitoring collaborate with product managers, ux designers, and engineering teams to deliver high-quality, data-driven solutions write clean, testable, and well-documented code following best software engineering practices review code, define technical direction, and enforce coding standards mentor fellow engineers and contribute to knowledge-sharing across ...
Rome / 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 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 approximately 10%...
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 approximately 10% of business turnover spent in training s...
La corporación unificada nacional de educación superior - cun, es una institución de carácter privado, constituida como persona jurídica de utilidad común, sin ánimo de lucro, que en sus treinta años de existencia ha consolidado a través de ellos un ... descripción general vacante: científico de datos – universidad cun ubicación: sede a centro – bogotá contrato: indefinido modalidad: presencial horario: lunes a viernes, turnos rotativos salario: $6.000.000 mensuales la universidad cun busca un científico de datos con sólidos conocimientos en machine learning, estadística avanzada y analítica aplicada, que contribuya al fortalecimiento de la estrategia institucional a través del uso inteligente de los datos. importante: es requisito contar con especialización o maestría en analítica de datos o ciencia de datos, o estar cursándola actualmente. objetivo del cargo liderar el desarrollo e implementación de modelos de análisis avanzados, generando insights accionables que mejoren la toma de decisiones y optimicen la experiencia académica del estudiante. responsabilidades: diseñar e implementar modelos de machine learning y análisis estadístico. explorar datos y detectar patrones relevantes para procesos institucionales. desarrollar dashboards interactivos para visualización de métricas clave. aplicar técnicas de nlp, visión por computadora y modelos predictivos. colaborar con equipos multidisciplinarios en la resolución de problemas complejos. asegurar la calidad y seguridad de los datos. optimizar la ruta crítica del estudiante para mejorar su permanencia y éxito. re...
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 quant support to business and r&d projects. requirements recent graduates or final-year students from disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. a master's degree may influence salary conditions. postgraduate studies and specialized courses, especially in data science, quantitative finance, or similar, are assets. 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). solid academic record. knowledge of additional languages is desirable. proactive attitude, maturity, responsibility, and strong work ethic. quick learner with the ability to integrate into multidisciplinary teams easily. we offer the best environment to develop your talent: participation in high-profile consulting projects for major companies and industry leaders. collaboration with top management on national and global challenges. part of a professional team with values and culture benchmarked in the industry. ongoing training, with about 10% of business turnover invested in training: 600 hours of training in the first two years. specialist, external expert, professional skills, and language courses. last year, over 375,000 hours of training across more than 150 courses for sta...
1 week 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 talented remote senior data engineer with strong experience in data software engineering. the ideal candidate will have big data technologies, primarily spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines. responsibilities design, develop and deploy high-performance data pipelines work with cross-functional teams to deliver complex projects develop, maintain and optimize etl processes troubleshoot and optimize data pipeline processes create and maintain data models and databases requirements 3+ years of software engineering experience good knowledge of big data technologies, primarily spark experience with dse python, aws, and databricks familiarity with python upper-intermediate english level (b2+) nice to have knowledge of apache spark and apache hive we offer international projects with ...
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 engineer ii (@remote, chile and colombia) role at offerup we are looking for an experienced data engineer to work on building, operating, and scaling offerup’s batch and near real-time data processing platforms and tools that will power data-driven capabilities throughout the entire organization. this is a highly visible opportunity to build systems that drive the end-user experience, as well as directly supporting backend engineers, business intelligence dashboards and reports, data analysts and data scientists. building the largest and most responsive mobile marketplace poses unique data challenges that require leveraging the latest developments in data infrastructure. we leverage open-source infrastructure where we can but are ready to build and share solutions if they don’t exist yet. come help us do that! this role is only available outside the us and not available to any individual based within the us or any us territory. here’s more of what you will get to do: design and develop applications to process large amounts of critical information to power analytics and user-facing features. monitor and resolve data pipeline or data integrity issues. work across multiple teams to understand their data needs. maintain and expand our data infrastructure. you’ll thrive in this role if you have 3+ years of pro...
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 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 and corporate culture are a benchmark for the industry on...
Estamos en busca de un semi senior flutter developer con un sólido conocimiento técnico y experiencia en el desarrollo de aplicaciones móviles multiplataforma . el candidato ideal será capaz de diseñar, desarrollar y probar soluciones móviles que respondan a las necesidades del negocio. además, deberá trabajar en equipo con otros desarrolladores y áreas funcionales para definir y ejecutar la estrategia del producto, contribuyendo al crecimiento y éxito del proyecto. desarrollo de aplicaciones móviles con flutter bajo arquitecturas escalables y mantenibles. colaboración con equipos multifuncionales (backend, producto, diseño) para construir y lanzar nuevas funcionalidades. implementación de pruebas unitarias y de integración, garantizando alta cobertura y calidad del código, incluyendo casos de borde. participación activa en definiciones de arquitectura, diseño técnico y selección de tecnologías. construcción de soluciones siguiendo principios solid, buenas prácticas de desarrollo móvil y patrones de diseño. desarrollo de pruebas de concepto (pocs) para validar enfoques técnicos. resolución de problemas complejos de forma autónoma y con altos estándares de calidad. aplicación de buenas prácticas de arquitectura móvil y estándares ui/ux. +4 años de experiencia como desarrollador de software. +2 años de experiencia comprobable en desarrollo móvil usando flutter. experiencia en publicación y mantenimiento de aplicaciones móviles en app store y google play. dominio del framework flutter y lenguaje dart. conocimiento en gestión de estado (riverpod, bloc, provider, mobx u otros). ...
Madrid / graduate / number of vacancies: 5 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 quant support to business and r&d projects. requirements recent graduates or final year students in disciplines related to mathematics, physics, statistics, econometrics, or other quantitative fields. a master's degree may influence salary conditions. postgraduate studies or specialized courses in data science, quantitative finance, or similar are assets. knowledge of modeling techniques (logit, glm, time series, decision trees, random forests, clustering), statistical programming languages (sas, r, python, matlab), and big data tools (hadoop, hive) is desirable. strong academic record. knowledge of additional languages is a plus. proactive attitude, maturity, responsibility, and a strong work ethic. quick learner. ability to work well in multidisciplinary teams. we offer the best environment to develop your talent: work on high-profile consulting projects for major companies and market leaders. collaborate with top industry management on national and global challenges. be part of a team whose values and culture set industry standards. ongoing training plan, dedicating approximately 10% of business turnover: 600 hours of training in the first two years. specialist, external expert, professional skills, and language courses. over 375,000 hours of training across more than 150 courses last year. enrollment in ...
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 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 looking for a highly experienced lead data engineering developer to join our team. this role involves building, optimizing, and maintaining complex data pipelines, leveraging your expertise in python, spark, hive, and cloud environments. you'll play a critical role in delivering high-quality data solutions for dynamic projects. responsibilities design, develop, and maintain complex data pipelines to support large-scale data processing write clean, efficient, and test-driven code using python and sql implement unit testing with mock frameworks as part of the development process work extensively with spark and hive for data processing and transformation collaborate with teams to optimize data structures and algorithms for performance utilize aws components (ec2, s3, lambda, dynamodb, sqs, rds) for cloud-based data processing and storage ensure the scalability and rel...
Direct message the job poster from capgemini engineering organizacional & clinical psychologist | it sourcing | human resources | bilingual | head hunting | fintech | talent acquisition | personal and… descripción breve choosing capgemini means choos...
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 pa...
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