(HN/HCM) Data Scientist/Senior Data Scientist

Job Purpose

- The job holder proposes, initiates, and manages multiple ML projects together with the business in order to address problems raised before linked to company OKRs and product enhancements using DS methods, processes, and systems on unstructured, diverse Big Data sources.

- The job holder also participates in strategic decision circles and contributes to guiding business data at a high level and providing strategic data guidance

- The job holder is required to allocate resources, decide strategically on projects, and then cascade down to leads

Key Accountabilities (1)

Data Solutions

- Evaluate the effectiveness of proposed models and track business performance KPIs against the data model.

- Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advanced analytics solutions across the firm including recommendation engines, customized data models, etc.

- Drive application of machine learning and big data techniques across different journeys and squads.

- Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.

Key Accountabilities (2)

Data Insights

- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources together with business partners.

- Review processes and tools designed to monitor and analyze model performance and prediction accuracy.

- Proactively lead discussions in 3+ squads to identify questions and issues for data science

- Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency.

- Know at all times your data (size, average, distributions, outliers, CR, etc) and be able to estimate model output, and impact, and come up with sanity checks to detect bugs (discrepancies between expectations and results)

Key Accountabilities (3)

Project Management

- Own the project, manage POs, keep everyone on track from distractions, aligned towards lowest hanging fruit and KPI

- Manage project conflicts, challenges, and dynamic business requirements to keep operations running at high performance.

- Work with team leads to resolve people problems and project roadblocks, conduct post-mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.

Talent Development

- Manage allocated team, focus on retention and growth of the scientists, personal development, and KPI

- Mentor and coach junior fellows into fully competent Data Scientists.

Identify and encourage areas for growth and improvement within the team

Key Relationships - Direct Manager

Director, Data Science

Success Profile - Qualification and Experiences

Qualifications

- Master's degree (or higher) in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology or other Numerical Disciplines

Work Experience

- 3+ years of relevant experience in areas of data analysis, machine learning, deep learning model

development of large amounts of data, implementing and deploying various statistical models

- English proficiency requirements are according to Techcombank's policy

- Deep experience in querying databases and coding (e.g. Python, R, Spark, Scala, SQL, Java, C, C++)

- Extensive experience in building data and analytics solutions and products, data mining and statistical analysis

- Experience in the application of machine learning and AI to questions related to the financial markets

- Working location: Hanoi/HCM

Why Techcombank

• Investing over 300 million USD to develop large-scale IT projects, Techcombank is one of the leading bank in Technology trends in Vietnam
• You will grow with Techcombank by having the opportunity to learn from top experts from across the world
• Techcombank provides a rewarding remuneration structure that commensurate with your achievement and contribution
• Techcombank is the Top 2 Best place to work in the banking industry where you can experience various exciting activities throughout the year: Company anniversary, Team building, Active Saturday Off, Year End Party, etc.