Deskripsi Pekerjaan
About Aisensum
We build agentic AI teammates, custom AI agents like ROI Daniel, ROT Sasha, and ROQ Nadia that eliminate grunt work, boost efficiency
Who we want
A fresh grad or final-year student (preferably Economics / Econometrics / Statistics / Mathematics / Data Science) who is strong on business thinking, comfortable with SQL & Python, and can translate messy data into decisions that affect revenue, margins, or productivity. Work on real client projects: turn raw transaction/CRM/kiosk data into actionable models, dashboards, and recommendations that drive measurable business outcomes.
Kualifikasi
Key Responsibilities
- Clean, merge, and QA multi-source datasets (CRM, POS, kiosks, Excel extracts).
- Write & optimise SQL (joins, aggregations, window functions).
- Descriptive analytics: cohorts, funnels, RFM/RFMP, conversion funnels.
- Build and validate logistic regression/propensity models; interpret results for business owners.
- Produce management-ready charts, short slide summaries, and one-line recommendations.
- Support Senior Ops/AI Science in data checks, UAT, and deployment monitoring.
- Document assumptions, edge-cases, and data quality issues.
Must-have skills
- Degree: Economics / Econometrics / Statistics / Math / Data Science (or equivalent).
- SQL: basic → intermediate (joins, group by, filters; window functions preferred).
- Python: Pandas / NumPy for data cleaning & analysis.
- Statistics: regression (logistic), hypothesis testing, distributions, sampling.
- Business sense: can answer — “what does this number mean for revenue, cost, or quality?”
- Clear written English and attention to detail.
Nice-to-have
- Experience with BI tools (Tableau / Power BI / Looker Studio).
- Coursework or projects in propensity modelling, pricing, and demand forecasting.
- Basic familiarity with Git or other version control systems.
- Exposure to real-world datasets (through internships, competitions, and capstone projects).
What you’ll learn
- Running end-to-end analytics for paying clients (not toy datasets).
- Turning models into decisions that affect ROI / ROT / ROQ.
- Exposure to deploying AI teammates (Daniel / Sasha / Nadia use-cases).
Tips Menjaga Diri
Perusahaan dan Lowongan di Dealls tidak meminta data pribadi, informasi rekening, atau pungutan ketika melamar. Hindari juga lowongan Google Form / Grup Telegram tanpa keabsahan yang jelas.
AISensum - Agentic AI Teammates for Real Business Impact.
AISensum builds agentic AI teammates, like ROI Daniel, ROT Sasha, and ROQ Nadia, that live inside your workflows and get real work done. We cut admin grunt work, lift ROT (Return on Time), and drive measurable ROI by combining RAG, custom language models (CLMs), edge computing, and workflow automation with human-in-the-loop design.
We design for production: rapid POC → HQ lab testing → field pilots → hardware-software co-design and scaled deployments. That means practical engineering (edge compute, device integrations), strict data privacy/compliance, continuous monitoring to prevent drift, and human override whenever needed. Our approach balances speed with safety: transparency, measurable KPIs, and iterative A/B testing to prove value before scale.
Team + capability: AI scientists, product designers, systems engineers, and domain strategists who build multi-agent systems that coordinate across marketing, sales, and ops. We’ve partnered with Uniqlo, Nestlé, Indofood, Asics, P&G and help SMBs and enterprises across Indonesia, India, and the USA compete smarter.
Values - I.C.A.R.E.
Integrity • Contentment • Agile • Respect • Excellence
What we add that others don’t: human-in-the-loop governance, human-centered design, hardware & edge readiness, clear ROI metrics, and enterprise-grade security & compliance. No hype just measurable outcomes.
