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 AnalyticsAbout Revenue OpticsRevenue 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 HiringThis 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 Responsibilities1. Heavy Data Processing & Engineering (Non-Negotiable)You must be able to confidently process:700MB–1GB+ raw ERP files50,000+ customer universes20,000+ SKU catalogs with multi-year transactional historyMulti-million-row CSV/XLSX files that require optimization, merging, reshaping, and normalizationProduct hierarchy reconstruction and account master cleansingIf large datasets break your pipeline, your RAM, or your workflow—this role will not be a fit.2. Growth Intelligence ModelingWhitespace identification across categories, regions, and customer segmentsShare-of-wallet and SKU penetration modelingReactivation, decline detection, and churn-risk indicatorsInside-sales rep assignment and prioritization scoring models3. Advanced Analytics & AI-Driven InitiativesPredictive modeling (regression, clustering, classification)ML-based prioritization for outbound callingAI-driven account matching and lead scoringOpportunity simulations and growth scenario modeling4. Insight Delivery & Executive VisualizationBuild leadership-ready dashboards (Power BI, Tableau, Python)Convert models into actionable revenue strategiesPartner with consulting teams to drive execution across clients5. Data Governance & RepeatabilityBuild scalable workflows and automated pipelinesEnsure data accuracy, reliability, and consistent outputs across projectsWhat You BringExperience & Technical Depth3–7 years in data science, analytics, or BIExpert Python: pandas, NumPy, scikit-learn, statsmodelsAdvanced SQL (complex joins, window functions, optimization)Proven track record working with multi-million-row datasetsAbility to optimize memory usage and pipeline performanceStrong statistical foundation and applied ML experienceIndustry Fit (Preferred)Exposure to B2B distribution, manufacturing, or pricing dataUnderstanding of SKU/customer structures, ERP schemas, or sales ops dataProfessional TraitsCommunicates with clarity and precisionThrives in a fast-moving, high-accountability cultureOperates with ownership vs. instructionComfortable with late-evening IST overlap for U.S. client workWhy Join UsYou won’t just run models—you’ll influence how America’s top distributors grow.Immediate executive visibilityHigh-impact, high-velocity projectsA flat, zero-bureaucracy culture that rewards speed and accuracyAccelerated career trajectory as we scale our India analytics hubDirect access to the Founder and senior leadership teamOur operating cadence is aggressive, empowering, and performance-driven. If you bring the horsepower, you’ll advance fast.Compensation & GrowthCompetitive, experience-based INR salaryFast-track pathway as part of the India Growth Intelligence leadership buildoutPerformance-based acceleration opportunities as our analytics product suite scales⚡ We’re interviewing now and hiring immediately.