Associate Data Scientist

Visa; Singapore; Hybrid; SGD 60,000 - 80,000; Full time

Job summary

A leading financial services company in Singapore is seeking a Data Scientist to join their data science team. The role involves collaborating with business stakeholders to design data-driven solutions, developing machine learning models, conducting data analysis, and ensuring data quality. Candidates should have over a year of experience in data science with proficiency in Python, SQL, and data visualization tools. A hybrid work model is offered.

Qualifications

• 1+ years of relevant work experience in data science or a related field.
• Proficiency in machine learning and generative AI techniques.
• Knowledge of cloud platforms like AWS, GCP, or Azure is a plus.

Responsibilities

• Collaborate with stakeholders to design data-based solutions.
• Develop and implement machine learning models.
• Ensure data quality during acquisition and processing.

Skills

Python

R

SQL

Problem-solving

Communication

Education

Bachelor's Degree or Advanced Degree

Tools

Hadoop

Spark

Tableau

PowerBI

Job description

You will have the opportunity to make an impact as a Data Scientist with our data science team in Bangalore. In this role, you will play a crucial part in driving data-driven decision making throughout the organization. Your responsibilities will include collaborating with business stakeholders to understand their challenges and designing data-based solutions. Key tasks will involve developing and implementing machine learning models, conducting data analysis, and creating predictive models to support the Client Services teams. Furthermore, you will work closely with team members and stakeholders to comprehend their data science needs and design solutions based on collaboration and guidance. You will also be responsible for conducting research to explore new methods and techniques to enhance existing models. Creating visualizations to effectively communicate complex data and insights will be a part of your role.Your duties will also involve ensuring data quality at all stages of acquisition and processing, which includes data cleaning, normalization, and transformation. Clear and coherent communication, both verbally and in writing, will be essential for understanding data requirements and reporting results effectively. This position is a hybrid role, and the specific number of days to be spent in the office will be confirmed by your hiring manager.Basic Qualifications:- 1 or more years of relevant work experience with a Bachelors Degree or an Advanced degree (e.g. Masters, MBA, JD, MD)Preferred Qualifications:- 1 - 1.5 years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD) in data science, machine learning, AI, or a related field.- Proficiency in Python, R, SQL, and other data science tools.- Knowledge of big data platforms like Hadoop, Spark, or similar technologies.- Familiarity with machine learning, generative AI techniques, and algorithms.- Understanding of Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2.- Proficiency in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models.- Excellent problem-solving skills and critical thinking ability.- Strong communication skills to effectively convey messages to team members and stakeholders.- Knowledge of cloud platforms like AWS, GCP, or Azure is a plus.- Familiarity with data visualization tools like Tableau, PowerBI, or similar.- Ability to work both in a team and independently as needed.- Knowledge of containerization technologies like Docker or Kubernetes.,

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