Machine Learning Engineer at Experian

Bogota, Capital District, RAP (Especial) Central, Colombia -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Pandas, Numpy, MatplotLib, Probability, Statistical Inference, Optimization Algorithms, Linear Algebra, Calculus, Object-Oriented Programming, Data Structures, Linux, Git, Machine Learning Modeling, English Proficiency

Industry

Information Services

Description

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description Entrar a ser parte del equipo que acompañará la construcción y mantenimiento de productos basados en datos alternativos, siendo uno de los roles que apoye la aplicación de un motor de machine learning en Colombia. Esta labor requiere personas con conocimientos analíticos para el diseño de modelos, su monitoreo y ajustes Construir y mantener modelos (propensión, pérdida, etc.) de aprendizaje automático y estadísticos utilizando fuentes alternas (data alternativa), data transaccional y datos de Buró. Evaluar periódicamente el desempeño de los modelos entrenados Garantizar que los datos de entrenamiento utilizados cumplan con los estándares de Experian, levantar alertas] y proponer posibles pasos de prevención y mitigación en caso de que esos estándares no se cumplan Diagnóstico y resolución (propuesta e implementación) de problemas de baja precisión y categorización errónea, e implementación de medidas de mejora continua relacionadas. Documentar el proceso de modelado, prueba, codificación y la documentación necesaria para el soporte del modelo. Qualifications Idiomas: Inglés intermedio-avanzado conversacional y de lectura técnica es requerido, mínimo B2. Mínimo 1.5 años de conocimiento práctico en Python, preferiblemente tanto la sintaxis propia de Python como también algunos de sus principales paquetes analíticos (como Pandas, Numpy, MatplotLib) Fuerte conocimiento de probabilidad, inferencia estadística, algoritmos de optimización, álgebra lineal y cálculo. Conocimiento de los principios de programación orientada a objetos, estructuras de datos, Linux y herramientas de control de versiones basadas en Git. Revisión a nivel de detalle, detectar problemas y proponer soluciones rápidamente. Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here Employee Status: Regular Role Type: Hybrid Department: Product Development Schedule: Full Time

Responsibilities

Build and maintain machine learning and statistical models using alternative, transactional, and bureau data. Monitor model performance, resolve accuracy issues, and document the entire modeling and coding process.