Data Scientist
About Globant
We are a digitally native company that helps organizations reinvent themselves and unleash their potential. We are the place where innovation, design, and engineering meet scale.
Globant is a 20-year-old NYSE-listed public organization with more than 27,000 employees worldwide working out of 25 countries globally.
Our expertise in Data & AI allows our studio to create a wide variety of end-to-end solutions for industries including finance, travel, media & entertainment, retail, and health, among others. We democratize data and foster organizational changes towards a data-driven culture.
Location: Vietnam (HN/DN)
Experience: 4+ years
YOU WILL GET THE CHANCE TO:
- As a data scientist, you will be domain agnostic; hence, you'll be able to work in different domains like finance, pharmaceutical, media and entertainment, manufacturing, hospitality, and so on.
- Get an opportunity to work on different projects and deal with problems like anomaly detection, time series forecasting, building bots, classification, regression, clustering, recommendations, A/B Testing, etc.
- Contribute to innovative accelerators and develop tools, methodologies, and frameworks that can be used to accelerate the development of data science solutions.
- Build and maintain machine learning pipelines that support model development, training, deployment, and monitoring, ensuring that they meet the highest standards for quality and reliability.
- Hands-on experience on the Google Cloud platform which includes exposure to BigQuery, Vertex AI, Kubeflow, and Generative AI modules of GCP.
- Design and develop multiple POCs/POVs for existing customers or prospective leads. Preserving the knowledge through this research and innovation and utilizing it to enhance the overall capability of the Artificial Intelligence Studio.
- Proactively interacts with the client and takes important technical decisions regarding design and architecture.
- Establish and maintain relationships with clients, acting as a trusted advisor and identifying opportunities for new or expanded business.
- Agree on scope, priorities, and deadlines with the project managers.
- Describe problems, provide solutions, and communicate clearly and accurately.
- Assure the overall technical quality of the solution.
- Estimate the time of development tasks and perform difficult/critical coding tasks.
- Defining metrics and setting objectives in multiple complex tasks.
WHAT WILL HELP YOU SUCCEED?
A strong base in statistics along with machine learning is mandatory. Strong experience in machine learning, computer vision, and Gen AI techniques. You should be well-versed in techniques like Object Detection, Face recognition, and Object Tracking, which can help you improve your models.
Knowledge of the model life cycle to continuously improve the model after production deployment is essential. Always staying relevant with the latest developments in the field of data science and advocating it to the other Data Scientists within the organization.
An expert professional with a lot of zeal to learn and explore new methodologies. You must work in a collaborative environment and come up with innovative ideas to continuously improve the solutions/models. Candidates must be willing to explore and research newer areas/technology/algorithms and look to continuously improve the models.
Core Technical Skills
- Linear Algebra, Statistics, and strong in Python
- Exploratory Data Analysis and Data Visualization. This includes using statistical and visualization libraries like numpy, pandas, scipy, matplotlib, or software like PowerBI, and Tableau.
- Must have expertise in Hypothesis testing or A/B Testing. Exposure to multi-arm bandit-based testing will be an added advantage.
