Revenue Optics

🚀 Data Scientist – Growth Intelligence & AI Innovation (Immediate Opening)

📍 Location: Remote – India

🕒 Schedule: CST overlap required at least 2 of 5 weekdays (typically 6:00 PM – 1:30 AM IST)

👤 Reports To: Senior Manager, Client Delivery & Data Analytics

 

About Revenue Optics

Revenue Optics is a U.S.-based growth consulting firm redefining how private-equity-backed distributors grow. We build modern, data-driven inside-sales engines powered by AI, analytics, and proactive customer coverage — transforming traditional branch networks into fast-moving revenue machines.

Our clients include Fortune 1000 distributors and PE portfolio companies executing aggressive growth mandates across North America. We move fast, challenge convention, and operate with founder-level urgency — combining deep industry experience with advanced analytics to drive measurable results.

 

Why We’re Hiring Now

This is a critical, newly created position — and we’re looking to bring the right person on board immediately.

Revenue Optics is scaling fast, and our analytics engine is central to that growth. The Data Scientist – Growth Intelligence & AI Innovation will play a pivotal role in turning complex distributor, CRM, and ERP datasets into the intelligence that drives sales coverage, pricing, and growth decisions for some of the largest players in industrial B2B.

This is not a maintenance role — it’s a build-and-lead opportunity for someone ready to own high-visibility analytics work that directly impacts how our clients grow.

 

Key Responsibilities

* Analyze complex CRM, ERP, and transactional datasets to identify whitespace, reactivation, and growth opportunities.
* Build predictive models for account prioritization, churn risk, and revenue forecasting using Python, SQL, and ML frameworks.
* Develop scalable workflows, pipelines, and repeatable analytics frameworks.
* Design executive-ready dashboards and visualizations (Power BI, Tableau, etc.) that translate analytics into business strategy.
* Partner with consulting and client-delivery teams to connect data insights to execution.
* Drive AI-enabled initiatives — including lead scoring, account matching, and growth simulations.
* Maintain strong data governance, quality, and repeatability across projects.

 

What You Bring

* 3–7 years of hands-on experience in data science, analytics, or business intelligence.
* Deep proficiency in Python (pandas, NumPy, scikit-learn) and SQL for advanced data manipulation.
* Proven ability to handle large multi-million-row datasets efficiently.
* Solid grasp of statistics, regression, clustering, and predictive modeling.
* Familiarity with B2B, distribution, manufacturing, or pricing data is a plus.
* Strong communication skills — capable of translating analytics into actionable insights.
* A mindset built for speed, precision, and ownership — thriving in a high-trust, zero-bureaucracy environment.

 

Why Join Us

At Revenue Optics, you won’t just analyze data — you’ll shape how growth happens.

Our culture is fast-moving, empowering, and outcome-driven, with direct visibility to the Founder and leadership team.

* Immediate impact — your work will influence U.S. executive-level growth decisions from day one.
* High-visibility projects with Fortune-scale and PE-backed companies.
* Flat structure, real autonomy — no layers, no silos, just accountability and momentum.
* Career acceleration as our analytics function scales across North America and India.
* Purpose-driven team culture that values speed, trust, and measurable results.

 

We move fast — and we’re hiring fast. If you’re ready to take ownership, build something extraordinary, and grow with a company that rewards performance over politics, this is your chance.

Compensation & Growth

* Competitive INR-based salary commensurate with experience and technical depth.
* Fast-track growth path as part of the India analytics leadership buildout.

 

⚡ We’re interviewing now and plan to hire immediately.

Data analytics

Growth

Data

Project management

Tableau

NumPy

Innovation

Pandas

Prioritization

Forecasting

Statistics

Manufacturing

Communications

Data governance

Python

Machine learning

Power BI

Scikit-learn

Data Scientist – Growth Intelligence & AI Innovation (Immediate Opening)