Senior Data Scientist – Proprietary Analytics Solutions

1 week ago

Agra, Uttar Pradesh, India beBeeEngineer Full time US$ 1,50,000 - US$ 2,00,000

Job Title: Senior Full Stack Engineer for High-Performance Analytics Platform

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This is a challenging opportunity to work on building the front-end and back-end systems for our cutting-edge analytics platform. As a Senior Full Stack Engineer, you will be responsible for architecting and developing scalable, intuitive platforms that visualize complex network relationships and deliver real-time risk scores.

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The ideal candidate will have at least 5–8+ years' experience as a full stack engineer in analytics, big data, or enterprise environments. Strong hands-on experience with React, TypeScript, D3.js, WebGL, Node.js, Python, Scala is required. Advanced expertise with Hadoop and Apache Spark for distributed data processing and analytics is also necessary.

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You will work closely with our AI Engineers to create a user-friendly interface that makes complex analytics accessible to business users. The role requires building systems that handle visualization of graphs with millions of nodes, deliver sub-100ms API response times at scale, and process TB-scale datasets in real-time.

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Key Responsibilities:

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  • Develop responsive, scalable web apps (React/TypeScript) for advanced enterprise analytics and data visualization
  • Design interfaces for explainable AI and complex entity relationship analytics
  • Build and maintain data transformation and aggregation pipelines, optimizing for low-latency and high throughput
  • Integrate backend analytics powered by Apache Hadoop, Spark, and our proprietary graph database
  • Work with our custom graph query language and SDKs to expose graph analytics capabilities
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What You'll Build:

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  • Graph Investigation Console: Visual interactive exploration of enterprise networks with millions of entities
  • Entity Resolution Workbench: Approve and audit entity matches with explainable analytics at scale
  • Analytics Dashboards: Real-time operational, risk, and business metric monitoring processing TB of data
  • Advanced Reporting Interfaces: Visualize supply chain, ESG, and other key KPIs with sub-second response
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Our Technology:

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  • Proprietary Graph Database: Custom-built for multi-dimensional analytics, offering 10x performance over traditional graph DBs
  • Custom Query Language: Purpose-built for complex enterprise analytics (comprehensive training provided)
  • SDKs and APIs: Well-documented interfaces for all platform capabilities
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Benefits:

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  • Impact: Shape the architecture of an essential platform for enterprise decision-making
  • Innovation: Work on proprietary graph technology, big data pipelines, and cutting-edge AI
  • Growth: Influence core engineering and play a central role in building the early team
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Application Process:

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  1. Technical Screening: Includes full-stack, big data, and cloud architecture
  2. Take-Home Challenge: Build a complex data visualization or analytics component
  3. Technical Team Interview
  4. Culture Fit Discussion with Founders

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