Senior Data Scientist: Production ML & NLP Leader

SDM; Jakarta Pusat; On-site; IDR 450,000,000 - 650,000,000; Full time

Job summary

SDM (Sinergi Daya Mitra) seeks a Senior Data Scientist to design, build, and deliver production-ready AI solutions for enterprise clients. You will lead data science work from problem framing to model deployment, collaborating with engineering teams and client stakeholders.

The role requires 5+ years in data science or ML, strong Python skills, experience with ML/DL frameworks (scikit-learn, PyTorch, TensorFlow), NLP/LLMs, SQL, cloud platforms (AWS/GCP/Azure), and MLOps practices.

Qualifications

• Bachelor's or Master's degree in CS, Statistics, Mathematics, CS Engineering, or related field.
• 5+ years in data science or ML with production deployments.
• Strong Python proficiency and ML/DL frameworks (scikit-learn, PyTorch, TensorFlow).
• Hands-on NLP/LLMs experience (fine-tuning, RAG, prompt engineering, or agent frameworks).
• Solid foundation in statistics, experimental design, and model evaluation.
• Experience with SQL, data pipelines, and cloud platforms (AWS, GCP, Azure).
• Familiarity with MLOps (model versioning, CI/CD, monitoring).
• Strong English communication with stakeholders.

Responsibilities

• Design, build, and deliver production AI solutions for enterprise clients.
• Lead data science work from problem framing to deployment.
• Collaborate with engineering teams and client stakeholders.
• Communicate complex concepts clearly to business partners.

Skills

Python

ML/DL frameworks

NLP/LLMs

Data analysis

Education

Bachelor's or Master's in CS/Statistics/Math/CE

Tools

scikit-learn

PyTorch

TensorFlow

SQL

CI/CD / MLOps

Job description

SDM (Sinergi Daya Mitra) seeks a Senior Data Scientist to design, build, and deliver production-ready AI solutions for enterprise clients. You will lead data science work from problem framing to model deployment, collaborating with engineering teams and client stakeholders.

The role requires 5+ years in data science or ML, strong Python skills, experience with ML/DL frameworks (scikit-learn, PyTorch, TensorFlow), NLP/LLMs, SQL, cloud platforms (AWS/GCP/Azure), and MLOps practices.