Data Science (Machine Learning)

PT. Lintas Teknologi Indonesia; Kebayoran Baru; On-site; IDR 400,000,000 - 560,000,000; Full time

Job summary

Lintas Group is seeking a Senior Data Scientist to design, implement, and optimize scalable data pipelines and analytics standards. You will design, build and optimize machine learning models for prediction at fine-grained levels and deploy forecasting models per segment, adapting to changing data patterns.

The role emphasizes producing production-ready, scalable solutions, monitoring model performance, and collaborating with other data scientists to align standards and metrics.

Qualifications

• Bachelor's degree in engineering, computer science, finance, mathematics, or related fields.
• 5+ years of industry experience in data mining, ML, statistical analysis, or predictive modelling.
• Strong experience in ML areas such as NLP, computer vision, time-series and statistical learning theory.
• Proficiency in Python and building multi-model forecasting solutions.

Responsibilities

• Design, implement, and optimize scalable data pipelines and analytics standards.
• Design, build and optimize ML models for prediction at fine-grained levels.
• Select, train, retrain and deploy forecasting models per segment.
• Develop informatics and data science solutions for diverse applications with support.
• Monitor model performance and implement improvements over time.
• Collaborate with data scientists to align modelling standards and metrics.

Skills

Python

Machine Learning

Time-series

NLP

Computer Vision

MLOps

SQL

Education

Bachelor's degree in engineering, computer science, finance, mathematics, or related fields

Tools

TensorFlow

PyTorch

YOLO

OpenCV

SQL

Job description

Design, implement, and optimize scalable data pipelines and analytics standards to support current and future analysis.

Design, build and optimise machine learning models for prediction at fine-grained levels of granularity.

Select, train, retrain and deploy appropriate forecasting models per segment, adapting to changing data patterns.

Develop, configure, and test informatics and data science solutions for diverse technical applications, while providing ongoing support.

Monitor model performance over time and implement improvements as needed.

Set up experiments and feedback mechanisms to ensure continuous improvement and high impact of data products.

Collaborate closely with other data scientists to agree modelling standards, evaluation metrics and architectural patterns.

Present findings, insights, and strategic recommendations to leadership and cross-functional teams.

Ensure solutions are production-ready, scalable and maintainable

Requirements:

Bachelor’s degree in engineering, computer science, finance, mathematics, or related fields.

5+ years of industry experience in data mining, machine learning, statistical analysis, or predictive modelling.

Strong experience and proficiency in machine learning (ML) areas such as natural language processing, computer vision, time-series and statistical learning theory.

Proficiency in programming languages such as Python.

Proven experience building multi-model or many-model forecasting solutions.

Hands-on experience with MLOps tools.

Strong Python skills and experience with common data science and machine learning libraries e.g: TensorFlow, Pytorch, YOLO, OpenCV.

Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development.

Telecommunications & Internet Service Providers 101-1,000 employees

Lintas Group was established on August 2001 by the former leadership team of Lucent Indonesia, we have grown from 40 to more than 200 professionals. We have successfully deployed core infrastructure, applications and managed services solutions to major telecommunication operator across the Indonesian archipelago and abroad. We manage projects from the most remote rural locations to city centers, from single item delivery to the implementation of complex network and mission critical software applications.