Data Scientist and AI Specialist

Dotco Pte. Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Dotco Pte. Ltd. is seeking a data science professional to uncover actionable insights and build end-to-end AI pipelines. You will prepare data, develop machine learning models, and translate results into strategic recommendations for stakeholders.

You will design scalable AI solutions, collaborate with software teams, and monitor model performance to ensure reliable operations and measurable ROI across business units.

Qualifications

• Bachelors or Masters in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Strong Python, R and SQL; experience with ML libraries like scikit-learn, TensorFlow, PyTorch, and pandas.
• Cloud familiarity (AWS, GCP, Azure) and ML platforms for production ML work.
• Excellent ability to translate complex data to non-technical stakeholders.

Responsibilities

• Data Preparation: Extract, clean, and pre-process large structured and unstructured data.
• Model Development: Design, train, and fine-tune ML/DL models to predict outcomes and classify data.
• AI Integration: Build scalable pipelines and integrate AI/ML into production platforms.
• Analysis & Visualization: Perform EDA and build executive dashboards to monitor ROI.
• Model Monitoring: Continuously monitor and optimize model performance.

Skills

Python

R

SQL

scikit-learn

TensorFlow

PyTorch

pandas

Education

Bachelor's or Master's in Data Science/CS/Statistics/Math

Job description

Objective

Uncovers actionable insights from complex datasets and develops intelligent algorithms to automate business processes. Build machine learning models, implement end-to-end AI pipelines, and translate technical data into strategic recommendations for stakeholders.

Objective

Uncovers actionable insights from complex datasets and develops intelligent algorithms to automate business processes. Build machine learning models, implement end-to-end AI pipelines, and translate technical data into strategic recommendations for stakeholders.

Core Responsibilities - Spearhead The Following

• Data Preparation: Extract, clean, and pre-process vast amounts of structured and unstructured data from various sources.
• Model Development: Design, train, and fine-tune machine learning and deep learning models to predict outcomes and classify data.
• AI Integration: Build scalable AI pipelines and collaborate with software teams to integrate AI/ML functionalities into production platforms.
• Analysis & Visualization: Perform exploratory data analysis (EDA) and develop executive-level dashboards to monitor performance and ROI.
• Model Monitoring: Continuously monitor, evaluate, and optimize model performance to ensure operational reliability.

Required Qualifications

• Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Programming & Tools: Advanced proficiency in Python, R, and SQL. Experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Cloud & MLOps: Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML platforms.
• Soft Skills: Excellent critical thinking and the ability to present complex technical concepts to non-technical stakeholders.