Data Scientist

CryptoMize; New Delhi; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

CryptoMize in New Delhi is hiring a Data Scientist for a full-time permanent role at our Delhi HQ. You will own end-to-end forecasting models, from problem framing with strategists to delivering results that influence client decisions.

Immediate joining available as we staff ahead of engagements. We value production-grade Python, statistical rigor, and expertise in time-series forecasting to drive real-world outcomes across platforms.

Qualifications

• Proficient in Python for production-grade modeling.
• Strong statistical rigor and ML depth.
• Experience with time-series forecasting and experimental design.
• Ability to engineer features from real-world, messy data.

Responsibilities

• Own the modeling layer of live engagements end-to-end—from framing to sign-off on numbers.
• Run forecasting for electoral trajectory, sentiment inflection, and risk signals reaching clients.
• Design segmentation and targeting models for perception and political engagements.

Skills

Production-grade Python

Statistical rigor

Machine learning

Time-series forecasting

Experimental design

Feature engineering

Tools

Python 3.11

Prophet

PostgreSQL 15

Git repositories

Job description

Data Scientist jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis — we staff modeling capacity ahead of the engagements that demand it, not after. This is a full-time, permanent position with immediate joining at our New Delhi HQ, inside the forecasting core whose models have tracked real electoral and reputation outcomes at 89% historical accuracy across 18 countries. The complete job description follows: the responsibilities you will own, the requirements, the seniority path, and the selection process. Practicing data scientists who are tired of models that die in dashboards — and want theirs to face reality — should read to the end.

What you will actually do:

• Own the modeling layer of live engagements end-to-end — problem framing with the strategist, model design, validation, and the sign-off on what the number actually means
• Run forecasting at consequence: electoral trajectory, sentiment inflection, and risk-signal models whose outputs reach client counsel directly
• Design segmentation and targeting models for perception and political engagements — the unsupervised work our platforms consume at scale

Skills that matter:

Production-grade Python, Statistical rigor, Machine learning in depth, Time-series forecasting, Experimental design, Feature engineering against dirty, manipulated, real-world corpora.

Tools you will use:

Python 3.11, Prophet and classical time-series toolchains, PostgreSQL 15, Git-based model repos with review discipline.

Location: New Delhi (HQ), E4, Vasant Vihar. Type: full-time permanent. Availability: immediate, rolling intake. Compensation: discussed at screening.