FPT Software HN

Overview of job

• Work Location: Ha Noi, Ho Chi Minh, Da Nang

About us

FPT Software is a globally leading technology and IT services & solutions provider headquartered in Vietnam, with approximately 30,000 employees from 69 nationalities and 85 offices in 30 countries. As a pioneer in digital transformation, we deliver world-class services and have served 1,100+ customers worldwide, 100+ of which are Fortune Global 500 companies in the industries of Aerospace & Aviation, Manufacturing & Automotive, Banking, Finance & Insurance, Logistics & Transportation, Healthcare & Life Sciences, Retail, Utilities & Energy, and more.

Let Accompany the Future and Embark on a Brilliant Journey with us?

Job Description

While no 2 days are the same in this role the expected activities at the different stages of a customer engagement would be: 

• Lead problem discovery and value identification on-site with the customer;
• Support the customer solution team to engage & convince customers on technical aspect in order to generate revenue related to data opportunities;
• Developing your skills to become a trusted consultant of strategic accounts;
• Working in a global team with passion in making Digital Transformation a reality;
• Strategize and iterate through different ways in which the presented problem could be solved;
• Build data end to end workflows, including cleaning, wrangling, analytics, machine learning, and visualizations.;
• Lead the technical implementation of each project, converting product vision and customer needs into development tasks;
• Strong value focus across all activities, ensure at all times that the solution being built will drive value metrics;
• Roll-out project with end-users, collect feedback and bugs.

Must have:

• Experience in operating within Agile software development (e.g. Scrum, SAFe, Kanban) as developer role;
• Strong programming skills in Python particularly for data science applications and workflows ~5+ year experience;
• Data wrangling and modelling experience: good knowledge of how to create data pipelines, integrating multiple sources of structured and unstructured data, perform feature engineering to fuel downstream analyses and visualizations. Experience in using: Pandas, SQL, NoSQL, PySpark, RegEx;
• Statistics: Experience of applying statistical methods to real-world projects;
• Traditional Machine Learning: Experience in implementing supervised and unsupervised methods. Experience with SciKit Learn (SKlearn) or similar packages;
• Data Visualization: Experience in building compelling data visualizations. Experience in using packages like: Matplotlib, ggplot, bokeh, plotly, dash. And using dashboarding tools like: spotfire, tableau, PowerBI;