Data Scientist - AI,ML

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD is seeking an experienced Data Scientist with a strong AI/ML background to drive data-driven decisions and enhance products. You will lead end-to-end ML/AI projects, explore data, engineer features, and deploy models across environments.

The role requires 8+ years in data science, with at least 2 years in a lead or senior technical capacity, and proficiency in Python, ML libraries, and visualization tools like Power BI, Qlik, and Tableau.

Qualifications

• Bachelor's or Master's in CS/CE/Stats/Data Analytics/Applied Math.

Responsibilities

• Lead end-to-end ML/AI projects from problem definition to deployment and monitoring.
• Develop ML/AI/optimization models for business and operations.
• Collaborate with data and software engineers to deploy models in air-gapped and cloud environments.
• Drive experimentation using AI techniques like time-series forecasting, anomaly detection, CV and NLP.
• Present insights and recommendations in actionable business terms.

Skills

Python

Data analysis

Predictive modeling

Feature engineering

Model deployment

Lead technical role

Education

BS/MS in CS/EE/Stats

Data analytics degree

Tools

Nifi

Airflow

SQL

pandas

numpy

scikit-learn

TensorFlow

PyTorch

Databricks

Snowflake

AWS Sagemaker

Power BI

Qlik

Tableau

Job description

We are seeking an experienced and innovative Data Scientist with a strong background in Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team. The ideal candidate will possess extensive knowledge of data analytics, predictive modeling, and algorithm development to drive data-driven decisions and enhance our products.

What You’ll Do:

• Lead the end-to-end lifecycle of Machine Learning (ML) and AI projects, from business problem definition, data exploration, feature engineering, model training, validation to deployment and performance monitoring.
• Develop and implement ML, AI or optimization models to address a range of business and operational challenges, such as improving performance, forecasting demand, optimizing resource utilization, enhancing reliability, or supporting better customer outcomes.
• Collaborate with data and software engineers to deploy ML/AI models in both air-gapped and cloud production environments.
• Drive experimentation and continuous learning using AI techniques such as time-series forecasting, anomaly detection, Computer Vision and Natural Language.
• Present data-driven insights and recommendations in actionable business terms to business users.

Job Specifications

• Bachelors or Masters Degree in computer science, computer engineering, statistics, data analytics, a pplied mathematics or a relevant field.
• At least 8 years relevant data science experience, including 2 or more years in a lead or senior technical role.
• Proficiency in Python, Nifi, Airflow, SQL, libraries such as pandas, numpy, scikit-learn, TensorFlow, PyTorch, and MLOps tools such as Databricks, Snowflake, AWS Sagemaker.
• Proficiency in Data Visualization tools like Power BI, Qlik and Tableau