Data Scientist - AI,ML

Tap Growth ai; Singapore; On-site; SGD 150,000 - 190,000; Full time

Job summary

Tap Growth ai in Singapore 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, from problem definition through deployment and monitoring.

The ideal candidate has at least 8 years in data science, with 2+ years in a lead role, and is proficient in Python, SQL, and ML libraries. You will collaborate with engineers to deploy models in cloud and air-gapped environments and push

Qualifications

• At least 8 years data science experience, including 2+ years in a lead or senior role.
• Proficiency in Python, SQL and ML libraries; experience deploying models.

Responsibilities

• Lead end-to-end ML/AI projects from problem framing to deployment and monitoring.
• Develop and implement ML/AI/optimization models for business challenges.
• Collaborate with data and software engineers to deploy models in cloud and air-gapped environments.
• Drive experimentation using AI techniques such as forecasting, anomaly detection, CV and NLP.

Skills

Lead ML/AI projects

Data analytics

Predictive modeling

Feature engineering

Experimentation

Education

Bachelor's or Master's in CS/CE/Statistics/Data Analytics/Applied Math

Tools

Python

SQL

Airflow

NiFi

pandas

numpy

scikit-learn

TensorFlow

PyTorch

Databricks

Snowflake

SageMaker

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