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Revenue Optics
Revenue Optics

Data Scientist – Growth Intelligence & AI Innovation

Location

Remote restrictions apply
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Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Growth
AI
Data
+24

Permanent role
a day ago
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Data Scientist – Growth Intelligence & AI Innovation

Location: Remote – India

ⓘ View potential timezone restrictions

Schedule: U.S. Central Time Zone (CST) overlap required at least 2 out 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 redefining how private-equity-backed distributors grow. We build modern inside-sales engines powered by data, AI, and proactive customer coverage — transforming branch networks into fast-moving revenue machines. Our clients include Fortune-500-scale industrial distributors and PE portfolio companies executing aggressive growth mandates. We move fast, challenge convention, and operate with founder-level urgency.

Why This Role Exists

We’re looking for a hands-on, strategic Data Scientist – Growth Intelligence & AI Innovation to help turn complex distributor and CRM datasets into actionable intelligence. This role sits at the intersection of data science, sales analytics, and business strategy — driving the insights that determine how our clients deploy inside-sales teams, target whitespace, and quantify ROI.

You’ll collaborate directly with leadership and cross-functional teams to design predictive models, build scalable frameworks, and uncover growth opportunities that accelerate top-line performance.

Key Responsibilities

  • Analyze CRM, ERP, and transactional datasets to uncover growth opportunities across customer segments.
  • Build predictive models for whitespace, churn risk, and account prioritization using Python, SQL, and ML frameworks.
  • Partner with consulting teams to translate analytical findings into go-to-market strategy and execution.
  • Develop dashboards and visualization tools (Power BI, Tableau) to surface insights with clarity and impact.
  • Drive AI-enabled initiatives for lead scoring, account matching, and revenue forecasting.
  • Ensure data integrity, governance, and repeatability across analytical projects.
  • Collaborate across time zones with U.S. and India teams to deliver client-ready insights at speed.

What You Bring

  • 3–6 years of applied data-science or advanced-analytics experience.
  • Deep proficiency in Python, SQL, and pandas/scikit-learn.
  • Experience with B2B or distribution data (sales, pricing, product, or customer segmentation) preferred.
  • Solid grounding in statistics, regression, and machine-learning techniques.
  • Ability to convert business questions into analytical frameworks and communicate insights with clarity.
  • Comfort operating in a fast-moving, high-visibility, entrepreneurial environment.

Why Join Us

At Revenue Optics, our team describes the culture as fast-moving, empowering, and grounded in purpose — but never at the expense of balance. We move with urgency, not chaos. Everyone has direct visibility to the Founder, owns meaningful work that drives real impact, and grows faster here than they ever could in a large organization. There’s deep trust, autonomy, and collaboration across borders — no bureaucracy, just accountability and momentum. We value both performance and well-being, creating an environment where people can do the best work of their careers without burning out. We celebrate wins, learn fast, and operate as one team driving a mission bigger than ourselves: redefining how B2B distributors grow.

About Revenue Optics

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