Data Scientist – Growth Intelligence

Data Scientist – Growth Intelligence & AI Innovation (Immediate Opening) Revenue Optics | India (Remote) Location: Remote – India Schedule: CST overlap required at least 2 of 5 weekdays Typical overlap window: 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 transforming how private-equity-backed distributors scale. We build modern, analytics-powered inside-sales engines—turning complex CRM/ERP data into targeted, proactive revenue execution. Our portfolio includes Fortune-scale distributors and PE-backed operators , each running aggressive growth mandates across North America. We move fast, challenge legacy thinking, and operate with founder-level urgency. Why We’re Hiring This is a critical net-new hire. Our analytics engine is scaling, our client base is accelerating, and we need a high-capacity Data Scientist who can step in immediately . You’ll be central to converting messy, high-volume distributor data into growth intelligence that shapes sales coverage, pricing, customer penetration, and whitespace strategy. This role is not maintenance—it’s build, lead, and deliver at enterprise velocity. Key Responsibilities 1. Heavy Data Processing & Engineering (Non-Negotiable) You must be able to confidently process: 700MB–1GB+ raw ERP files 50,000+ customer universes 20,000+ SKU catalogs with multi-year transactional history Multi-million-row CSV/XLSX files that require optimization, merging, reshaping, and normalization Product hierarchy reconstruction and account master cleansing If large datasets break your pipeline, your RAM, or your workflow—this role will not be a fit. 2. Growth Intelligence Modeling Whitespace identification across categories, regions, and customer segments Share-of-wallet and SKU penetration modeling Reactivation, decline detection, and churn-risk indicators Inside-sales rep assignment and prioritization scoring models 3. Advanced Analytics & AI-Driven Initiatives Predictive modeling (regression, clustering, classification) ML-based prioritization for outbound calling AI-driven account matching and lead scoring Opportunity simulations and growth scenario modeling 4. Insight Delivery & Executive Visualization Build leadership-ready dashboards (Power BI, Tableau, Python) Convert models into actionable revenue strategies Partner with consulting teams to drive execution across clients 5. Data Governance & Repeatability Build scalable workflows and automated pipelines Ensure data accuracy, reliability, and consistent outputs across projects What You Bring Experience & Technical Depth 3–7 years in data science, analytics, or BI Expert Python: pandas, NumPy, scikit-learn, statsmodels Advanced SQL (complex joins, window functions, optimization) Proven track record working with multi-million-row datasets Ability to optimize memory usage and pipeline performance Strong statistical foundation and applied ML experience Industry Fit (Preferred) Exposure to B2B distribution, manufacturing, or pricing data Understanding of SKU/customer structures, ERP schemas, or sales ops data Professional Traits Communicates with clarity and precision Thrives in a fast-moving, high-accountability culture Operates with ownership vs. instruction Comfortable with late-evening IST overlap for U.S. client work Why Join Us You won’t just run models—you’ll influence how America’s top distributors grow. Immediate executive visibility High-impact, high-velocity projects A flat, zero-bureaucracy culture that rewards speed and accuracy Accelerated career trajectory as we scale our India analytics hub Direct access to the Founder and senior leadership team Our operating cadence is aggressive, empowering, and performance-driven. If you bring the horsepower, you’ll advance fast. Compensation & Growth Competitive, experience-based INR salary Fast-track pathway as part of the India Growth Intelligence leadership buildout Performance-based acceleration opportunities as our analytics product suite scales ⚡ We’re interviewing now and hiring immediately.