Job summary

Job Responsibilities

Data Solution:

- Assess the suggested models' efficacy and monitor business performance in relation to the data analysis model.

- Create state-of-the-art algorithms and collaborate with deep learning and machine learning tools to give advanced analytics solutions to the entire company, such as graph modes, personalized data models, recommendation engines, and predictive machine learning models.

- Encourage the use of big data and machine learning approaches across various teams and missions.

- Oversee, carry out, and evaluate intricate data science initiatives with agility and adherence to internal and external regulatory standards.

Data Insight:

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

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

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

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

Projects Management:

- Manage multiple data products and resolve conflicts, challenges and dynamic business requirements to keep operations running at high performance.

- Lead involved data science teams to propose solutions to BU, align KPIs, plan resources, resolve people problems and project roadblocks, keep project on track, conduct postmortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.

- Identify and encourage areas for growth and improvement within the team.

People Management

- Oversee human resources planning and execution (headcount & costs) of their function/ sub- function

- Attract, onboard and retain the right talents for a high- performing team

- Establish and communicate sub- function/ function and individual KRAs/ KPIs, goals, action plan, expectations and results to reporting line

Experience requirements

• 12+ years of relevant experience in areas of data analysis, machine learning, deep learning model development on large amount of data, implementing and deploying various statistical models, 4+ years of people management experience.
• English proficiency requirements are pursuant to the policy
• Deep experience in querying databases and using programming languages (e.g. Python, spark, TensorFlow, scala, sql, C, C++, Java)
• Extensive experience in building data and analytics solutions, data mining, statistical model building, predictive modeling
• Experience in application of machine learning and AI to questions related to tech and finance industry
• Experience in providing fact-based insights to help senior management and other stakeholders realize enterprise value at scale
• Deep experience in Agile Software Development and has mastery of Agile principles, practices and Scrum methodologies
• Experience working in Agile teams to lead successful digital transformation projects, involved in the end-to-end planning to implementation

Education requirements

Bachelor's, Master’s or PhD degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information - Technology or any other Numerical disciplines

Please click on the APPLY BUTTON or contact our consultant Ms. Bao Linh for further information: +84 346200859 or email: linh.lebao@adecco.com

Contact Person

• Linh Le Bao
• Adecco
• Tel.