Data Scientist

Job Role:

- Data Scientist

Job Location

:- Singapore

Experience

:-3+ Years

Job Summary:-

We are looking for a Data Scientist with strong analytical and machine learning expertise to develop scalable AI and data-driven solutions. The ideal candidate will collaborate with cross-functional teams, build predictive models, deploy ML solutions, and contribute to data science best practices while solving complex business problems.

Key Responsibilities:-

Design, develop, and deploy machine learning and AI solutions to solve business challenges.

Perform data analysis, feature engineering, model development, evaluation, and optimization.

Build and deploy end-to-end ML pipelines following MLOps best practices.

Collaborate with business stakeholders, data engineers, and technical teams to deliver data-driven solutions.

Develop and maintain deep learning, statistical, and predictive models.

Work with large structured and unstructured datasets using modern data engineering practices.

Apply Generative AI techniques, LLMs, embeddings, vector databases, and AI frameworks where appropriate.

Review code, maintain documentation, and ensure solution quality, scalability, and reliability.

Stay current with emerging AI, machine learning, and data science technologies.

Required Skills & Qualifications:-

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Minimum 3 years of experience in Data Science or Machine Learning.

Strong proficiency in Python, SQL, R, and Shell Scripting.

Experience with machine learning, deep learning, statistical modelling, and predictive analytics.

Hands-on experience with MLOps and end-to-end model deployment on cloud platforms (AWS preferred).

Experience with Transformer models, Reinforcement Learning, and optimization techniques.

Knowledge of Generative AI, Large Language Models (LLMs), LangChain, LangGraph, embeddings, and vector databases.

Experience with data engineering concepts such as ELT/ETL, data transformation, and relational databases.

Strong problem-solving, analytical, and critical thinking skills.

Excellent communication, collaboration, and stakeholder management skills.

Preferred Skills:-

Experience building production-grade AI/ML applications.

Familiarity with cloud-native AI services and deployment pipelines.

Experience with data visualization and model performance monitoring.

Knowledge of software development best practices, version control, and CI/CD for ML solutions.