Senior Data Analyst

Create and manage common data, general algorithms, and data bridges different business units. You will be dedicated to shaping and managing group- level data, AI/ML algorithms, and data connections to the business.

Reap Limited - Mongkok, Hong Kong - Full time

Salary: Competitive

The client:

• The technology arm in a well-known conglomerate in Hong Kong

 

What can the client offer?

• Valuable working experience in a sizable organization 

• Attractive benefit package

 

What are your responsibilities?

• Create holistic AI and machine learning solutions aimed at optimizing supply chains, offering valuable insights from analytics, and uncovering potential business opportunities.

• Develop Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to highlight proposed solutions while guiding their creation to illustrate feasibility and potential effects.

• Leverage data analytics to strategically assist business units by emphasizing revenue growth, cost savings, and operational efficiency, while actively engaging in discussions to offer guidance on the best analytical approaches.

• Foster a Data Product-Driven Mind-set that prioritizes achieving specific product goals and resolving business challenges while spearheading the creation of solutions that meet market demands.

 

What skills/qualification will you need?

• Bachelor degree or higher in computer science, data science, or a related field.

• At least 5 years of experience in data analytics, machine learning, data science, or a related field.

• Possess advanced analytical skills, utilizing appropriate algorithms and methodologies for effective problem-solving and decision-making, combining logic and creativity.

• Proficiency in Python and SQL is essential and experience in multimodal models and LangChain is a plus.

• Good knowledge of machine learning algorithms and libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow, etc.).

• Familiarity with data visualization tools, ideally Power BI or Tableau.

 

Who would be suitable for the position?

• Good communication and interpersonal skills 

• Hardworking, willing to learn and take responsibilities

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