Principal Data Scientist

Uber · Bengaluru

  • Experience6–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted2 Sept 2026
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About Uber

Uber is hiring in Bengaluru in automotive mobility. This role looks for around 6+ years of experience.

Skills

  • Machine Learning
  • Auction Theory
  • Predictive Modeling
  • Causal Inference
  • Reinforcement Learning
  • PyTorch
  • TensorFlow
  • Python
  • Big Data Technologies

The role

A data scientist in advertising technology develops bidding and budget-pacing algorithms for ad-spend optimization, designs experiments for measuring advertising effectiveness, and translates business requirements into AI/ML solutions using auction theory, causal inference, reinforcement learning, PyTorch, TensorFlow, Python, and big-data technologies. This person leads machine-learning research, evaluates real-time bidding and programmatic advertising systems, communicates technical recommendations to leadership, and mentors data scientists. Defining skills include machine learning research, auction theory, causal inference, reinforcement learning, PyTorch, TensorFlow, Python, and real-time bidding.

Full job description

Responsibilities:

Design and develop sophisticated bidding, budget pacing, and other algorithms that optimize ad spend or ROI.

Create frameworks and experimental designs to measure ad effectiveness and ROI.

Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.

Communicate long-term roadmap, insights, and recommendations to tech and business leadership.

Mentor junior data scientists and provide technical guidance.

Lead research initiatives in machine learning, auction theory, and advertising technology.

Requirements:

B. Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research.

Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.

Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.

History of mentoring junior data scientists, and comfortable in driving multiple problem statements.

Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.

Preferred Qualifications:

M. Tech or Ph. D in Computer Science with a specialization in Machine Learning.

3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.

Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.

Track record of successful research-to-product transitions.

Strong publication record in top AI conferences (e. g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).