Data Scientist

JOB DESCRIPTION

Responsible for developing POCs/projects for customers to demonstrate power of Aitomatic product(s) & capabilities to customer stakeholders and data scientists.
Responsible for ensuring that POCs/projects are delivered on time, scope and quality
Responsible for understanding customer requirements from POC and translating them into solutions using the human-first approach
Take primary responsibility for answering technical, data and related questions from the customer, related to the POC/project
Provide regular progress updates to the customer and other stakeholders
Perform activities like data analysis, solution formulation, model development, testing/evaluation, field testing (representative POC related activities)
Raise POC/project risks, issues, concerns proactively and constructively
Maintain POC/project documentation and artifacts as per team’s guidelines and standards
Provide product related feedback to the H1st product development team, and contribute to H1st development as required.
Help to recruit and onboard new team members as required 

JOB REQUIREMENT

Must-have:
5+ year’s work experience after Bachelor's degree or 3+ years work experience after Master’s degree. Work experience must be as a data scientist
Strong data science fundamentals with solid background in modeling/algorithms, statistical techniques, and software engineering
Demonstrable experience in constructing AI- & ML-based solutions for real-world engineered systems in industrial setting
Demonstrable ability to think critically in understanding problems and formulating solutions
Excellent communication skills, including ability to communicate effectively with non-technical audiences (for example, customers)
Customer interaction and expectation management skills
Programming languages & packages: Python, SciKit-Learn, Keras/TensorFlow, Pytorch, and similar
1+ year experience doing data science on one of the public cloud platforms is required
Nice-to-have:
Experience with Apache Spark and/or Hadoop development
Programming language: scripting languages, Scala, Java 
University degree: Bachelor’s or Master’s degree in Computer Science or equivalent 

WHAT'S ON OFFER

Awesome colleagues
We will match exceptional talent with exceptional compensation (salary and equity)
You can shape the company culture where the best ideas always win out–regardless of the role, title or seniority; and where engineers are encouraged to help drive strategic decisions
Unlimited vacation policy
Comprehensive health insurance

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product, AI Application Platform

Technical Skills:

Data Science, Data, Big Data

Location:

Ho Chi Minh, Ha Noi, Da Nang - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J00637

Status:

Close

Related Job:

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • C/C++

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

View details

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam


Product

  • Devops
  • C/C++
  • Python
  • Golang

Create infrastructure and tools to automate complex software processes effectively. Improve performance: Deploy advanced test harnesses, benchmarking frameworks, and analytical tools to thoroughly evaluate and enhance the performance and efficiency of software and hardware platforms. Utilize expertise in operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to construct and troubleshoot high-performance systems. Collaborate with engineering teams to comprehend requirements and deliver efficient solutions. Establish performance objectives, assess feedback, analyze data, and continually enhance system reliability. Shape technical strategies: Contribute to developing technical strategies and roadmaps for platform automation initiatives to ensure they are in line with company goals and industry best practices.

Negotiation

View details

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation

View details