Company Description
Somos ms de 90 mil personas que, da a da, dedicamos nuestra pasin y energa a cumplir nuestro Propsito de Simplificar y Disfrutar Ms la Vida. Propsito que hoy vive a travs de nuestro ecosistema fsico y digital en todas nuestras empresas (Falabella Retail, Sodimac, IKEA, Tottus, Mallplaza, Falabella Inmobiliario, Falabella.com, Linio, Falabella Financiero, Banco Falabella, Falabella Soriana, Seguros Falabella, Fazil, Fpay y Falabella Corporativo) y pases (Argentina, Brasil, Chile, China, Colombia, India, Mxico, Per y Uruguay).
Valoramos las distintas miradas porque entendemos que la diversidad es la clave de nuestra innovacin. Queremos ir ms all de cualquier lmite, desafiarnos constantemente, divertirnos haciendo lo que nos gusta y dejar huella en lo que hacemos. Y sabemos que existe una forma de hacerlo: como UN SOLO EQUIPO.
Conoce ms oportunidades para vivir la #ExperienciaFalabella en https://muevete.falabella.com/
Job Purpose
Translate the business problem into a data science problem by analysing the feasibility
Duties And Responsibilities
- Understand the business problem end to end and document them in a way that the business can comprehend
- Collect relevant data from varying sources, clean and transform them to make them model ready
- Apply various transformations on the data sources, perform extensive exploratory analysis, feature reduction, generation of embeddings,
evaluation of goodness of embeddings, overcome the shortcomings of the data by seeking creative ways of solving the problem
- Evaluate the potential solutions of solving the problem by exploring different approaches, algorithms, hyper parameters optimization,
creative hacks into the algorithm to optimize the objective function.
- Understand and suggest the right metrics to measure the performance of the model and make the solution interpretable to the business
using creative visualizations
- Translate the solution into action by building end-to-end pipelines using various automation and pipeline tools
Preferred Skills
- Strong background in handling data, writing efficient SQL, python scripts, optimizing a query, loops, identifying the bottlenecks in a code and
optimizing them, data structures and design
- Strong background in Machine Learning Algorithms in different domains like Recommendations, NLP, CV and structured data
- Ability to comprehend white papers and translate them to implementations and tweak them based on custom needs
- Experience in building, debugging and explaining complex models like (not restricted to) CNN, LSTM, Transformer models, etc.
- Experience in complex and unstructured/unclean data, structuring them, cleaning them and making them model ready
- Conversant with tools like scikit learn, tensorflow, genism, scipy, numpy, etc., Docker/Container, flask api, git, spark, etc.
- Experience in working on GCP/any other cloud systems
Requirements
- NLP
- Machine Learning Algorithm
Job Conditions
Selection process description:
The selection process is carried out through Aira - a recruitment platform designed to improve your application experience.
To Apply You Just Need To
- Apply for the job
- Check your email
- Enter Aira and answer the indicated questions and/or tests Then, if we consider your profile is a good match for our position, we will contact you by email (through Aira) to continue to the in-person stage.
