Data Scientist

Data Scientist (0→1 AI Systems) — Bhashsms

Location:

Bangalore (On-site)

Experience:

2–4 years
Compensation: ₹18–30 LPA
Role Type:
Hands-on IC (no managers)

About the Role

Bhashsms is building India's largest SME Engagement OS — with AI-powered customer lists, campaign intelligence, and automated business growth.

We are looking for a hands-on Data Scientist who loves building 0→1 systems, not writing long research papers.
Your work will directly impact millions of campaigns executed by 5–10 lakh SMEs.

This is not a theoretical DS role.
This is a builder's role.

What You Will Build (First 180 Days)

You will work closely with the CTO to build:

1. AI Targeting Engine (Core Project)

Predict the best phone numbers for an SME's campaign
Build scoring models using our historical campaign data
Create a lead-likelihood algorithm (LLA)

2. Campaign Effectiveness Score

Predict campaign ROI
Analyse delivery, open, click, reply, and business outcomes
Build dashboards to help SMEs choose the best audience

3. Number Intelligence Graph

Deduplicate, cluster, and classify 20M+ numbers
Label type → customer, dormant, likely buyer, spam, etc.
Map SMEs to the right customer personas

Skills You Need

Must Have

Strong Python (Pandas, Num Py, Scikit-Learn, FastAPI optional)
SQL mastery
Experience working with large datasets
ML model building (classification, clustering, scoring systems)
Basic understanding of feature engineering
Strong analytical thinking

Good to Have

PySpark experience
Exposure to marketing analytics
Worked on recommender systems
Data scraping knowledge
Basic MLOps
Familiar with cloud (AWS/GCP/Azure)

Characteristics That Fit Bhashsms

We are looking for someone who:

Learns fast
Ships fast
Takes ownership
Is humble + hungry
Loves experimentation
Can handle ambiguity
Wants to build something big in India

Responsibilities

Own the AI data product end-to-end
Build models that deliver real business impact
Work with engineering to deploy your models
Iterate weekly based on feedback
Deliver measurable improvements in campaign ROI
Maintain high-quality datasets and pipelines

Success Metrics

Your work is successful if:

Campaign ROI increases
SME retention increases
Targeting accuracy improves monthly
Model deployment time falls
Net revenue per SME rises