Data Scientist - Kuala Lumpur, Malaysia - Capgemini

Description

The ideal candidate should have a strong background in statistical analysis, machine learning algorithms, and programming skills, along with experience in handling large-scale data sets.

The role will involve collaborating with cross-functional teams to develop and deploy data-driven solutions that address business challenges and opportunities.

• Lead and mentor a team of data scientists in developing and implementing advanced analytics solutions.
• Collaborate with business stakeholders to understand their requirements and translate them into data science projects.
• Design and implement machine learning models and algorithms to analyze large-scale datasets, utilizing Python (including XGBoost, LightGBM, NLTK, Spacy, Pyspark, Tensorflow, networkx), Dataiku, and SAS.
• Apply business acumen, particularly in the banking domain, to develop data-driven insights and solutions.
• Demonstrate leadership skills and stakeholder management to effectively communicate findings and drive decision-making.
• Conduct statistical analysis and hypothesis testing to derive actionable insights from data.
• Develop data pipelines and workflows for data processing and model deployment.
• Stay updated with the latest trends and best practices in data science and machine learning.

• Master's or Ph.

• Proven work experience as a Senior Data Scientist or similar role.
• Strong analytical skills, critical thinking, and problem-solving abilities.
• Proficiency in Python (including XGBoost, LightGBM, NLTK, Spacy, Pyspark, Tensorflow, networkx), Dataiku, and SAS.
• Business acumen in the banking industry.
• Leadership skills and experience in stakeholder management.
• Excellent communication and presentation skills.