Senior Data Scientist

Qualgo Technologies; Indonesia; On-site; USD 30,000 - 80,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll enhance a messaging platform's security and productivity through innovative machine learning solutions. You'll tackle exciting challenges, from fraud detection to intelligent agent development, while collaborating with a dynamic team. This role offers a unique opportunity to impact millions of users, backed by a supportive environment that prioritizes professional growth and innovation. If you're passionate about data-driven solutions and thrive in a collaborative setting, this position is perfect for you!

Benefits

Competitive salary and benefits package

Premium health insurance

Annual leave 12 - 14 days

Birthday Leave

Professional growth opportunities

Team building activities

Comfortable working area

Devices provided (Macbook)

Free tea and coffee

Dynamic work environment

Qualifications

• 5+ years experience in data science and machine learning.
• Strong background in classical machine learning techniques.
• Hands-on experience with large and small language models.

Responsibilities

• Develop and deploy machine learning models for messaging applications.
• Analyze user behavior to identify opportunities for improvement.
• Collaborate with product managers and engineers to define requirements.

Skills

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Data Analysis

Problem Solving

Communication Skills

Education

Master's degree in Computer Science

Ph.D. in Machine Learning

Tools

TensorFlow

PyTorch

SQL

NoSQL

AWS

GCP

Azure

Job description

As a Senior Data Scientist for Messaging App, you will play a critical role in developing and deploying machine learning models to enhance the security, productivity, and intelligence of our messaging platform. You will work on a variety of challenging problems, from detecting and preventing fraud and abuse to building intelligent agent solutions that assist users within the chat environment. You will have a strong background in classical machine learning techniques, natural language processing (NLP), and experience with both large language models (LLMs) and small language models (SLMs). You will work closely with product managers, engineers, and other data scientists to deliver impactful data-driven solutions.

• Design, develop, train, evaluate, and deploy machine learning models for a variety of applications within KChat, including:
  ■ Security:
  ● Fraud detection and prevention (e.g., identifying phishing scams, spam, malicious links).
  ● Abuse detection (e.g., identifying hate speech, harassment, and other policy violations).
  ● Account takeover detection.
  ● Anomaly detection.
  ■ Productivity:
  ● Smart reply suggestions.
  ● Message summarization.
  ● Task automation (e.g., scheduling meetings, setting reminders).
  ● Content recommendations.
  ● Translation.

● Building and integrating intelligent agent solutions (chatbots) within KChat to assist users with various tasks.
● Developing natural language understanding (NLU) and dialogue management capabilities for agents.
● Fine-tuning and customizing LLMs and SLMs for specific tasks and domains.

• Work with large datasets of text, user activity, and other relevant data.
• Implement data preprocessing, feature engineering, and model selection techniques.
• Use a variety of machine learning algorithms, including classical ML models (e.g., logistic regression, SVM, random forests), deep learning models (e.g., transformers, LSTMs), and language models (LLMs and SLMs).
• Deploy models to production and monitor their performance.

Data Analysis & Insights:

• Analyze user behavior and messaging data to identify opportunities for improvement.
• Communicate findings and recommendations to product and engineering teams.
• Work closely with product managers to define product requirements and translate them into data science solutions.
• Collaborate with engineers to integrate models into the KChat platform.
• Work with other data scientists to share knowledge and best practices.
• Stay up-to-date on the latest data science and machine learning research.
• Explore and evaluate new techniques and technologies.

Your skills and experience

Qualifications:

• Education: Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
• Minimum of 5+ years of experience in data science and machine learning, with a proven track record of developing and deploying models in a production environment.
• Strong experience with classical machine learning techniques (e.g., regression, classification, clustering).
• Extensive experience with natural language processing (NLP), including text classification, sentiment analysis, named entity recognition, and topic modelling.
• Hands-on experience with large language models (LLMs) and small language models (SLMs), including fine-tuning, prompt engineering, and deployment.
• Experience with specific models like BERT, RoBERTa, GPT variants, T5, LLaMA, and smaller, efficient models is highly desirable.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with programming languages such as Python (preferred) and R.
• Experience with SQL and NoSQL databases.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.
• Experience in the messaging, social media, or cybersecurity industry is a strong plus.
• Experience working in Vietnam or Southeast Asia is a plus.

Skills:

• Exceptional technical skills in machine learning, NLP, and deep learning.
• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team.
• Passion for building innovative and impactful data-driven solutions.
• Fluency in English; Vietnamese proficiency is a plus.

Why you'll love working here

• Competitive salary and benefits package.
• Opportunity to work on a product that impacts millions of users.
• A dynamic and supportive work environment.
• Premium health insurance for you and your family.
• Professional growth and development opportunities.
• Annual leave 12 - 14 days per year + 1 Birthday Leave + 1 X’Mas
• Performance review: once per year
• Internal training/sharing and professional Training courses
• Team building, company trip, year end party, monthly activities,….
• Devices: Macbook and screen (If needed)
• Free tea and coffee
• Comfortable working Area
• Working hour: 9am - 6pm from Monday to Friday