Head Of Data Analytics & Science

Bukuwarung; Jawa Barat; On-site; IDR 300.000.000 - 450.000.000; Full time

Job summary

A technology firm in Indonesia seeks a Data Science Engineer to apply advanced data science techniques and machine learning algorithms to solve critical business challenges and improve decision-making. Candidates should have a Bachelor's degree related to the field, substantial experience in data science, and proficiency in Python and SQL. The firm offers a collaborative environment and opportunities for growth in a vibrant city.

Benefits

Complimentary coffee

12 months contract with opportunity for permanent role

Qualifications

• 4+ years of experience in data science or machine learning.
• Experience with specific data science platforms is a plus.

Responsibilities

• Understand business objectives and develop models to achieve them.
• Analyze and visualize data to derive insights.
• Deploy models to production.

Skills

Data Science

Machine Learning

Python

R

SQL

Education

Bachelor's degree in Computer Science, Data Science, Mathematics, or related field

Data Science or Machine Learning certifications

Tools

AWS Sagemaker

Google AI Platform

Job description

• Head Of Data Analytics Science in Jakarta Selatan

Showing 6 Head Of Data Analytics Science jobs in Jakarta Selatan

Data Science Engineer

Posted today

Job Description

Job Title:

Data Science Engineer

About The Role:

To apply data science techniques and machine learning algorithms to solve business problems, improve decision‑making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, and/or ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements:

• Strong problem‑solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem‑solving.

Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Machine Learning Engineer

Posted today

Job Description

At Insignia, we're looking for a Junior to Mid‑Level ML Engineer who's excited to work on real‑world AI applications — from data pipelines to model deployment. You don't need to be an expert yet, but you should already know the basics of machine learning, have built something with Python, and want to go deeper.

You'll collaborate with senior engineers and data scientists to develop models that power automation, insights, and smart features. If you're passionate about applied AI, comfortable with code, and eager to ship models that matter, this is your chance to grow fast in a hands‑on environment.

This is a hybrid role based in West Jakarta, blending focused collaboration with flexible execution.

What You'll Do:

• Assist in designing, training, and deploying machine learning models for production use
• Work on data preprocessing, feature engineering, and model evaluation workflows
• Support the development of AI‑powered features, including NLP, classification, or recommendation systems
• Collaborate with data engineers and software teams to integrate models into applications
• Write clean, maintainable code in Python using modern ML libraries (PyTorch/TensorFlow)
• Learn and contribute across the ML lifecycle — from experimentation to monitoring

Who You Are:

• 1–3 years of experience in ML engineering, data science, or related roles — fresh grads with strong projects / internship also welcome
• Solid foundation in Python, machine learning concepts, and data manipulation (Pandas, NumPy)
• Hands‑on experience with scikit‑learn, PyTorch, TensorFlow, or similar frameworks
• Familiarity with Jupyter, Git, and basic MLOps practices
• Bonus: Experience with NLP, computer vision, or GenAI projects (e.g., RAG, LLMs)
• Eager to learn, give/receive feedback, and improve through iteration
• Fluent in English — written and spoken

Why Join Us?

Because great ML engineers aren't born — they're built through real projects, mentorship, and ownership. If you're ready to move beyond tutorials and start shipping intelligent systems, let's talk.

Hybrid role – West Jakarta

Senior Machine Learning Engineer (SDE 3)

Posted today

Job Description

We are looking for a Senior Machine Learning Engineer (SDE 3) to play a key role in delivering high‑impact projects. This position requires strong technical expertise, ownership, and the ability to work across complex systems that blend data engineering and software development.

*Key Responsibilities*

• Lead the development and implementation of key strategic projects.
• Provide technical and maintenance support for existing systems.
• Contribute to the continuous improvement of in‑house enterprise systems.

*Qualifications*

• 5+ years of experience as a Software Engineer, with a strong foundation in both Data Engineering and Software Development.
• Proven expertise in big data technologies and cloud platforms (Google Cloud Platform or AWS), especially within distributed pipelines.
• Knowledge of graph databases is a strong plus.
• Solid understanding of machine learning concepts and real‑world applications.
• Strong skills in data analysis and log exploration.
• Excellent problem‑solving, troubleshooting, and a collaborative, proactive mindset.

*Why Join Us?*

• Take ownership of mission‑critical projects that directly impact business growth.
• Work with cutting‑edge technologies across big data, cloud, and ML systems.
• Be part of a dynamic and innovative environment that values initiative and expertise.

Sr. Machine Learning Engineer

Posted today

Job Description

At Insignia, we're looking for a Machine Learning Engineer who's built more than just models — someone who's deployed RAG‑based solutions across different cloud environments, and knows how to make them scale without breaking.

You don't need to be a generalist — but you should be comfortable jumping between data pipelines, vector stores, and infrastructure quirks depending on the client or project.

What You'll Do:

• Design, build, and optimize RAG‑based architectures using tools like LangChain, LlamaIndex, and vector databases
• Deploy and manage ML systems across AWS, GCP, Azure , or any cloud our clients choose
• Improve retrieval quality, reduce latency, and balance cost‑efficiency at scale
• Collaborate with data scientists, engineers, and product teams to productionize AI features
• Write clean, maintainable code — because smart systems only work if they're sustainable

Who You Are:

• Strong foundation in Python , ML fundamentals , and data pipelines
• Hands‑on experience with RAG‑based systems and tools like Hugging Face, Pinecone, Weaviate, or FAISS
• Comfortable working across multiple cloud platforms and adapting to new infrastructures
• Bonus: Background in data engineering , ETL pipelines, or MLOps is highly valued
• Curious, collaborative, and excited about real‑world AI applications

Why Join Us?

Because great AI isn't built once — it's maintained, optimized, and evolved. If you're ready to build systems that learn, adapt, and keep running — let's talk

Data Engineer

Posted today

Job Description

ABOUT THE ROLE

• We are building a new team for data analytics to modernize and deliver B2B products at high quality and efficiency. As a data engineer you will mostly work with modern data stack to grow and empower our teams and to monitor sales activities. A young mind with good work ethics is highly valued.
• Currently residing in Jabodetabek
• 1-2 years of experience in data engineering role
• Have a degree in related to computer science OR at least 2 years of experience in data engineering
• Have experience with Google Sheet, Python, SQL, bash scripting, dbt, and Tableau Public (Desktop)
• Good understanding of SDLC, version control and deployment strategy
• Preferably have demonstrable experience with one or more of these:
• Snowflake
• Prefect, Dagster, or Astronomer
• Web scraping libraries and applications

WHAT WE OFFER

• Wrk-from-office hours: 8.30 AM PM
• 12 months contract, with the opportunity to have permanent role
• Complimentary coffee

Analytics Engineer

Posted today

Job Description

• Creating collaboration with internal or external teams to identify analytical needs and translate into clear data requirements with measurable metrics and definitions
• Analyzing company data with statistical, machine learning, and programming methods to deliver accurate models that meet user requirements.
• Design, build, and deploy machine learning, optimization, or predictive models into production environments.
• Monitor, maintain, and continuously improve existing models and work alongside developers and business owners to ensure timely and high-quality delivery of data‑driven solutions.

Qualifications

• Bachelor's degree in Computer Science, Statistics, or Mathematics.
• Minimum 2 years of experience in Distribution & Retail Businesses, preferably within Automotive Chain Stores (3S: Sales, Service, Spare Parts), FMCG, MNCs, or Technology Companies (Fintech, Marketplace, Insurance).
• Experienced in data collection and cleaning from various retail sources such as sales transactions, customer interactions, inventory systems, and marketing campaigns.
• Proficient in machine learning (supervised & unsupervised), statistical analysis, and AI algorithms for predictive modeling, including personalization, demand forecasting, and price optimization.
• Skilled in creating data visualizations and dashboards to communicate insights to non‑technical stakeholders.
• Strong understanding of retail metrics and KPIs, with excellent analytical skills, problem‑solving ability, and attention to detail.
• Placement: Head office, Depok, West Java.

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