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Senior Engineering Manager, Data Science

TruecallerCaller ID company
Bangalore, IndiaManager
Sequoia Capital logo
Sequoia Capital
OpenOcean
Atomico logo
Atomico
Kleiner Perkins Caufield & Byers
Peak XV Partners
Data & AI

About the role

TL;DR

Lead a data science team to drive intelligence and safety for Truecaller for Business.

  • As a Senior Engineering Manager
  • Data Science for Truecaller for Business (TfB), you will lead a high-performing team of Data Scientists and Data Analysts driving intelligence, safety, and operational clarity for our enterprise ecosystem.
  • You will sit at the intersection of technical excellence, risk monitoring, and strategic product execution.
  • Key Responsibilities Own the overarching Data Science strategy and technical roadmap for Truecaller for Business (TfB).
  • Lead the hands-on architecture, scaling, and production deployment of ML models.
  • Serve as the strategic liaison between Data Science, Product, Platform Engineering, and Leadership.
  • Direct, mentor, and grow a team of Data Scientists and Analysts.
  • Take full accountability for model accuracy, system uptime, and measurable business impact.
  • Requirements 12+ years of total experience in Data Science/Machine Learning, with at least 2 years in engineering management capacity.
  • Mastery of Python, SQL, and the modern ML ecosystem (scikit-learn, TensorFlow/PyTorch, pandas).
  • Deep experience querying very large datasets efficiently (BigQuery, Spark, or similar cloud infrastructure).
  • Solid understanding of MLOps pipelines, containerization (Docker/Kubernetes).
  • Outstanding communication skills.
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Required skills

PythonSQLscikit-learnTensorFlowPyTorchPandasBigQuerySparkDockerKubernetesEngineering Management

Benefits & perks

Learning and development allowance, Voluntary provident fund (VPF) and/or national pension scheme (NPS) tax saving option, Creche allowance, Choose your preferred computer and phone within our budget, Breakfast, lunch and quiet spaces, Team activities

Tech stack

PythonSQLscikit-learnTensorFlowPyTorchPandasBigQuerySparkDockerKubernetes

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