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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Scientist

Nexus Analytics
Singapore
Salary Estimate
SGD 6.000 – SGD 9.000
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you a visionary data scientist ready to drive innovation? Nexus Analytics is looking for a Senior Data Scientist to join our elite team in Singapore. You will be at the forefront of transforming complex datasets into actionable business strategies, leveraging cutting-edge Machine Learning and AI technologies.

We offer a competitive salary, a collaborative culture, and the opportunity to work on high-impact projects that shape the future of our industry. If you are passionate about solving hard problems and mentoring talent, we want to hear from you.

Responsibilities

  • Develop & Deploy Models: Design, build, and deploy scalable machine learning models that drive business growth and operational efficiency.
  • Data Strategy: Lead the end-to-end data science lifecycle, from data ingestion and cleaning to model training and validation.
  • Collaboration: Work closely with product managers, engineers, and stakeholders to translate complex data insights into clear, actionable recommendations.
  • Optimization: Continuously monitor model performance and optimize algorithms to ensure high accuracy and real-time processing speed.
  • Mentorship: Mentor junior data scientists and data engineers, fostering a culture of continuous learning and technical excellence.
  • Research: Stay abreast of the latest research in Deep Learning, NLP, and Computer Vision to integrate new methodologies into our tech stack.

Qualifications

  • Education: Master’s degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • Experience: Minimum of 4-6 years of professional experience in data science, machine learning, or a related analytical role.
  • Technical Skills: Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL. Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Cloud & Big Data: Experience working with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Hadoop).
  • Statistical Acumen: Solid understanding of statistics, probability, and experimental design.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences.

Required Skills

Python SQL Machine Learning Deep Learning TensorFlow PyTorch AWS Spark Scikit-learn Data Visualization Statistics Big Data Singapore

Ready to Take on This Challenge?

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