Lead Data Scientist
I Verve IncAbout the role
Company Description I Verve Inc. helps mid-market companies and scaling startups modernize legacy software into modern, cloud-ready, AI-enabled architectures. The company specializes in legacy system modernization, AI integration, and dedicated engineering teams that embed directly into client workflows. With 15+ years in business, 80+ senior engineers across the US and India, and over 2,500 projects delivered for 800+ clients in 40+ countries, I Verve has deep experience in HealthTech, FinTech, Logistics, Insurance, and B2B SaaS. Headquartered in New Jersey with engineering centers in India, the company emphasizes strong collaboration through timezone overlap and US-based technical leads. I Verve focuses on turning legacy platforms into strategic, intelligent business assets powered by AI, automation, and predictive analytics.
Role Description The Lead Data Scientist is a full-time remote role responsible for driving data science initiatives that power AI-enabled solutions for client legacy system modernization. This role leads end-to-end development of data-driven products, including problem framing, data collection, preprocessing, modeling, and deployment into production architectures. The Lead Data Scientist will partner closely with engineering teams and technical leads to design predictive models, optimize intelligent automation, and develop analytics that improve performance, scalability, and business outcomes. Day-to-day activities include building and validating machine learning models, performing advanced statistical analyses, designing dashboards and visualizations, and translating complex data insights into clear recommendations for clients and stakeholders. The role also involves mentoring data professionals, defining best practices, and contributing to experimentation frameworks that support continuous improvement across projects.
Qualifications
Strong foundation in Data Science and Data Analysis, with experience applying these skills to real-world business problems and production systems.
Proficiency in Statistics and Data Analytics for experimental design, hypothesis testing, model evaluation, and performance optimization.
Hands-on experience in Data Visualization, using modern tools and frameworks to build clear, actionable dashboards and reports.
Expertise in machine learning techniques, model deployment, and MLOps practices within cloud environments (e.g., AWS, Azure, GCP).
Advanced programming skills in languages commonly used for data science (such as Python or R), including experience with relevant libraries and frameworks.
Experience working with large, complex datasets, data pipelines, and modern data platforms (e.g., SQL/NoSQL databases, data warehouses, streaming data).
Proven ability to lead projects, mentor team members, and collaborate effectively with cross-functional engineering and product teams.
Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline, or equivalent practical experience.
Excellent communication skills, with the ability to explain complex technical concepts to non-
Responsibilities
- Drive data science initiatives for AI-enabled solutions
- Lead end-to-end development of data-driven products
- Partner with engineering teams to design predictive models
- Build and validate machine learning models
- Perform advanced statistical analyses
- Design dashboards and visualizations
- Mentor data professionals and define best practices
Qualifications
- Strong foundation in Data Science and Data Analysis
- Proficiency in Statistics and Data Analytics
- Hands-on experience in Data Visualization
- Expertise in machine learning techniques and MLOps
- Advanced programming skills in Python or R
- Experience with large datasets and modern data platforms
- Proven ability to lead projects and mentor team members
- Bachelor’s or Master’s degree in a quantitative field
Skills mentioned
About I Verve Inc
🚀 **Your legacy system is holding you back from AI. We fix both.** At **I-Verve**, we help mid-market companies and scaling startups transform outdated software into **modern, cloud-ready, AI-enabled architectures**. Whether it’s a **10-year-old .NET monolith**, a **Java EE system with slow quarterly releases**, or a **PHP platform that can’t scale**, we modernize it for speed, flexibility, and growth. What makes us different? We don’t just modernize your systems and hand them back. We **build AI directly into the new architecture** — from intelligent automation and LLM-powered features to predictive analytics and AI agents — so your legacy software becomes your **smartest business asset**. 🔧 **What we do:** ➡️ **Legacy System Modernization** — monolith to microservices, cloud migration, CI/CD implementation ➡️ **AI Integration** — LLMs, intelligent automation, predictive analytics, AI agents ➡️ **Dedicated Engineering Teams** — 4–12 engineers embedded in your workflow, led by US-based technical leads 📈 **Our track record:** ✅ 15+ years in business (founded in 2010) ✅ 80+ senior engineers across the US, Ahmedabad, Hyderabad, and Bangalore ✅ 2,500+ projects delivered ✅ 800+ clients across 40+ countries ✅ Deep experience in HealthTech, FinTech, Logistics, Insurance, and B2B SaaS ✅ 94% client retention rate ⏱️ **Typical engagement:** 💰 $35–80/hour 📅 14–20 week delivery cycles 👥 Teams of 4–12 engineers 📍 **Headquartered in New Jersey, US**, with engineering centers in India, we offer a **4-hour timezone overlap with US clients** and a **dedicated US-based technical lead** on every engagement. 🤖 If your legacy system is blocking AI adoption, let’s talk.