Data Scientist/ Data Engineer (NumPy, Pandas)

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Larion

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Linux NumPy Git UNIX OOP Pandas Jupyter C++

Job Description

This is a highly unique opportunity for a Data Scientist / Data Engineer to join a new and rapidly growing team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to analyze and enrich a broad range of structured and unstructured big data, ultimately generating actionable insights and tradable signals.

 

I. What You’ll Do

  • Enrich and transform large-scale structured and unstructured data into high-quality datasets, ensuring data quality, integrity, and signal reliability
  • Analyze complex datasets, generate insights, and collaborate with quantitative researchers to build tradable signals
  • Engineer and enhance large-scale feature sets, leverage ML/LLMs to identify feature similarity, grouping, and improve signal generation
  • Build and optimize data pipelines and real-time processing systems, including automated performance reporting across TB-scale data and millions of features
  • Develop internal tools to automate development, testing, and deployment workflows, and support global teams in troubleshooting technical issues
  • Using your expertise to provide technical support for global researchers, including diagnosing root causes of technical problems and proposing solutions to developers.
 

II.What You’ll Bring

Must-have:

  • 4+ years of experience in Data Engineer / Data Scientist or related roles, with strong Python coding skills (especially in NumPy, Pandas, Jupyter Notebook, PEP8 standards)
  • Solid foundation in algorithms, data structures, probability & statistics, with strong problem-solving ability (ability to perform at LeetCode Medium)
  • Hands-on experience building data pipelines and real-time data processing systems
  • Good understanding of machine learning / deep learning techniques
  • Strong software engineering practices (Git, clean code, testing, system design)
  • Good English communication skills for global collaboration

Nice-to-have:

  • Experience with C++ (STL, OOP)
  • Background in finance, trading, or quantitative research
  • Experience working with time-series data / forecasting
  • Familiarity with Linux/Unix environments

 

III. Why You’ll Love Working Here

Workplace

  • Join a young and dynamic team with awesome projects applying the latest technology.
  • Working with specialists from all over the world provides you with a fantastic opportunity to expand your skill set.
  • Culture of openness and honesty in which individuals are respected and encouraged to achieve their full potential.

Benefits Comprise

  • 13th-month salary and attractive performance bonuses.
  • Premium Healthcare and Accident insurance.
  • Annual health check package.
  • Lunch allowance, Free parking.
  • Advanced technical, English, and soft skills training to assist your career development.
  • Annual Company trip and Teambuilding.
  • Engaging monthly events: Happy Gathering, Mini Game, Birthday Celebration, Party, etc.
  • A spacious and fully equipped pantry for your most comfortable mealtime.
  • A wide range of sport and social activities: Football, Badminton, Running, Yoga, Tech clubs, Charity, etc.
  • Chance to be honored quarterly and annually with recognition awards for individuals, teams, seniority, etc.
  • Company supporting funds to ease your personal loans of Home, Vehicle, Tuition, etc.


Location: QTSC 1 Building, Quang Trung Software City, Trung My Tay Ward (District 12), Ho Chi Minh City.

Working Time: 08:30 AM – 06:00 PM from Monday to Friday (Lunch break 1.5 hours).

 

Gentle notice to our candidate about Decree No.13/2023/NĐ-CP

  • “According to Decree No.13/2023/NĐ-CP on protecting personal data, LARION would apply “Personal Data Processing Agreement” with all candidates to ensure compliance with the decree. By submitting this application to LARION, you agree to allow LARION to proceed your provided information in accordance with “Personal Data Processing Agreement” that you have read, fully understood and agreed to the entire content at link https://larion.com/privacy-policy/“

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