fram^, a fast-growing digital development firm headquartered in Sweden with teams in Vietnam, is hiring a remote Data Scientist on a 6-month contract. This fully remote role is open to candidates based in Vietnam and offers the opportunity to work with a cross-functional international team. Key responsibilities include data analysis, statistical modeling, building dashboards, and managing data pipelines to generate actionable business insights. The role involves close collaboration with product, engineering, and operations teams and includes performance monitoring of deployed models. fram^ provides a supportive, startup-style culture with an emphasis on innovation, ownership, and excellent digital solutions.
Ideal candidates should have 5+ years of experience in data science and a degree in a relevant quantitative field. Proficiency in SQL, Python or R (with tools like Pandas, NumPy, and Scikit-learn), and data visualization platforms such as Tableau or Power BI is essential. A strong foundation in statistical modeling, A/B testing, and hypothesis testing is also required. Strong English communication skills are a must due to the remote and asynchronous nature of the work. Additional experience in NLP, computer vision, AWS SageMaker, or business analytics for finance/e-commerce/gaming is a bonus.
This position is ideal for data professionals seeking a short-term yet impactful remote challenge in a collaborative and innovative tech environment. Candidates can apply directly via the fram^ website.
Responsibilities
- Analyze complex, large-scale datasets (structured and unstructured) to provide business insights and actionable recommendations.
- Design and optimize queries for performance across SQL-based data platforms (MySQL, PostgreSQL, etc.).
- Build dashboards, reports, and data pipelines to track business metrics and support decision-making.
- Work cross-functionally with product managers, engineers, and operations teams to define data needs and deliver insights.
- Lead statistical analysis and experiments (e.g., A/B testing, hypothesis testing, PCA, time series analysis) to validate business strategies.
- Support model deployment and performance monitoring, in collaboration with ML engineers where needed.
Qualifications
- Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Electrical Engineering).
- 5+ years of experience as a Data Scientist.
- Strong proficiency in SQL, including performance tuning and query optimization.
- Solid programming skills in Python or R, with experience in Pandas, NumPy, Scikit-learn, or similar.
- Experience with data visualization tools (e.g., Power BI, Tableau, or R Shiny).
- Strong grasp of statistics, data modeling, and hypothesis testing.
- Clear and effective communication skills in English (both written and verbal), especially for remote, async work.
- Experience with relational databases (MySQL, PostgreSQL) and document databases (MongoDB, etc.).
- Excellent communication skills in English, both written and verbal.
Nice to have:
- Experience with NLP, OCR, or computer vision use cases.
- Exposure to AWS SageMaker, Docker, or other ML deployment tools.
- Familiarity with agile development, JIRA, Git, and remote collaboration tools.
- Business domain experience in finance, e-commerce, or gaming analytics.
Note: Please note that this is a 6-month contract only.
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