Machine Learning jobs in Indonesia

We are an independent data analytics consultancy. We provide C‑suite executives and start‑up Founders with industry‑leading digital marketing and data analytics solutions.

Industry‑leading best‑practices, company‑specific optimizations and custom business insights to drive actionable performance

Best‑in‑class audit, implementation and maintenance support of analytics software and databases

Lead the end‑to‑end design, development, and deployment of advanced analytical solutions, serving as a subject matter expert. Independently drive research initiatives and translate ambiguous, open‑ended business objectives into structured, high‑impact data science roadmaps.

• Lead the design and rigorous evaluation of statistical analyses and complex machine‑learning algorithms to solve strategic business challenges.
• Architect, build, and deploy production‑ready predictive models and machine‑learning systems, ensuring scalability, reliability, and maintainability in collaboration with Data Engineering and MLOps teams.
• Define and lead the implementation of LLM‑based solutions (e.g., RAG, fine‑tuning) for new business capabilities (e.g., advanced customer support, content generation, knowledge mining).
• Proactively identify complex data patterns, market trends, and hidden opportunities to optimize the business, creating and championing new strategic directions through advanced modelling.
• Propose, design, and champion data‑driven solutions and strategies to executive and cross‑functional stakeholders, translating complex technical insights into clear, actionable business recommendations.
• Design and govern standardized data visualization techniques and reporting frameworks to ensure consistent, impactful communication of results across the organization.
• Own comprehensive technical documentation, including model methodology, production pipelines, deployment artifacts, and business impact analyses.
• Define new opportunities to significantly enhance business performance and product offerings through advanced machine learning and statistical modelling, driving projects from ideation to production.
• Lead the design and development of critical analytical projects focused on understanding and driving key business behaviors (e.g., customer acquisition, retention), independently managing project timelines and cross‑functional dependencies.
• Develop, maintain, and own high‑priority, client‑facing, and executive‑level analytics reports, ensuring data integrity and strategic relevance.
• Independently manage and lead the technical execution of major data science projects across marketing, non‑marketing, and custom solutions, acting as the primary point of contact for stakeholders.

Serve as a technical leader and force multiplier for the Data Science function, driving best practices, mentorship, and business impact.

• Mentor and coach junior Data Scientists, fostering their technical growth, code quality, and business acumen.
• Define and implement team‑wide best practices for modelling, testing, and production deployment (e.g., A/B testing design, model monitoring).
• Set the strategic direction for Generative AI and LLM adoption within the organization, including ethical guidelines, cost management, and model selection.
• Contribute to the data strategy by evaluating new technologies, methodologies, and data sources (e.g., Big Data technologies, advanced deep learning) for their potential business impact.
• Act as a key liaison between the Data Science team and senior business stakeholders (Product, Marketing, Engineering, Executive), managing expectations and driving the adoption of data science solutions.
• Supervise and lead by example in the drive to learn and master new technologies and research breakthroughs, setting a high standard for technical excellence, where we focus on marketing, non‑marketing, and custom product development.

• 3+ years of professional experience in Data Science or a highly quantitative role, with a proven track record of delivering measurable business impact from end‑to‑end projects.
• Expert‑level proficiency using programming languages (primarily Python/R) and SQL to build, productionize, and manage large‑scale data science solutions.
• Advanced mastery of Computer Science, Mathematical, Statistical, and Machine Learning principles, including a deep understanding of algorithm deployment, performance optimization, and statistical rigour.
• Demonstrated experience with modern Deep Learning frameworks (e.g., PyTorch, TensorFlow) and hands‑on experience in one or more LLM/Generative AI projects.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, Milvus), and leveraging LLM APIs (e.g., OpenAI, Google Gemini, Anthropic).
• Extensive experience working with and manipulating large‑scale structured and unstructured data sets (e.g., text, image, time series data).
• Proven experience and expertise in Data Architecture, Data Engineering, and MLOps principles, with hands‑on experience in cloud platforms (e.g., GCP, AWS, Azure).
• Proficiency with industry‑standard Data Visualization Tools (e.g., Tableau, Power BI, Looker/Google Data Studio), focusing on storytelling and strategic reporting.

• Excellent career development opportunities
• Leadership Role
• Great work environment