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Data Scientist – Anomaly Detection and AI Solutions

SpringCube

Contract - Senior Associate/ Asst Manager

Artificial Intelligence AI

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD5,000 - SGD10,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Data Scientist – Anomaly Detection and AI Solutions

Company Overview
This organization specializes in delivering cutting-edge AI and data science solutions across industries such as banking, financial services, power, and industrials. With a global team of data scientists and AI engineers, they combine domain expertise and innovative technologies to drive impactful business outcomes.

Job Description
The role of the Data Scientist focuses on developing and deploying machine learning models for anomaly detection. You will play a key role in leveraging data to support business decisions and enhance project outcomes.

Key Responsibilities

  • Project Charter Development: Define project goals, scope, and timelines while identifying stakeholders.
  • Data Requirements Documentation: Identify data sources, document requirements, and establish collection methodologies.
  • Exploratory Data Analysis (EDA): Create visualizations, statistical summaries, and preliminary insights.
  • Feature Engineering: Select and transform features for modeling and document methodologies.
  • Model Design: Architect predictive models, choose algorithms, and set hyperparameters.
  • Model Training and Evaluation: Train models, evaluate performance, and adjust as needed.
  • Deployment Planning: Develop strategies for deploying models and integrating them with existing systems.
  • Technical Documentation: Document codebases, APIs, and create user guides for stakeholders.
  • Final Reporting: Summarize findings, assess business impact, and present results.
  • Presentation Development: Prepare decks with insights, visualizations, and actionable recommendations.

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, or related field.
  • Proven experience in data analysis, machine learning, and statistical modeling.
  • Strong Python proficiency.
  • Familiarity with big data technologies like Hadoop and Spark.
  • Comprehensive knowledge of statistical and machine learning techniques.
  • Expertise in fraud and anomaly detection using unsupervised learning.
  • Experience developing and deploying machine learning pipelines.
  • Strong communication skills for presenting complex information clearly.

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.