Staff Data Scientist

7 days ago

Noida, Uttar Pradesh, India PW (PhysicsWallah) Full time ₹ 1,20,000 - ₹ 2,40,000 per year

Job Description – Staff / Sr. Staff Data Scientist (ML & Recommendations)

Location:
Noida / Bangalore

About the Company

PhysicsWallah (PW) is India's leading edtech platform, founded in 2016 by
Alakh Pandey
with a mission to make high-quality education affordable and accessible for every student.

What began as a YouTube channel has now grown into a
multi-billion-dollar unicorn
serving millions of learners through online courses, offline hybrid centres, and test-prep programs for JEE, NEET, UPSC, state boards, and beyond.

With
15M+ app downloads
,
2M+ daily learners
, and
120+ offline centres
across India, PW has transformed the education landscape by combining
technology, pedagogy, and affordability
. Recognised as a
Great Place to Work
, the company continues to expand globally, partner with state governments, and pioneer
AI-driven innovation in education
.

Qualification & Eligibility

  • Bachelor's or higher degree in a quantitative discipline (Computer Science, Statistics, Engineering, Applied Mathematics).

Work Experience

  • Minimum
    6+ years of experience
    .
  • Startup experience preferred; Edtech work experience is a bonus.

Roles & Responsibilities

  • Model Development:
    Design, train, and deploy recommendation algorithms (collaborative filtering, deep learning, bandits, reinforcement learning, embeddings, etc.).
  • Experimentation:
    Set up A/B testing frameworks, design evaluation metrics (CTR, engagement, retention, revenue lift), and analyze causal impact.
  • Data & Feature Engineering:
    Build and optimize pipelines to generate high-quality features from large-scale user, content, and interaction data.
  • Scalability & Systems:
    Collaborate with engineering to ensure models are production-ready, scalable, and low-latency.
  • Domain Leadership:
    Drive innovation in personalization strategies (multi-objective optimization, cold-start solutions, contextual recommendations, etc.).
  • Mentorship:
    Provide technical leadership, code reviews, and best practices to other scientists.

Skill Sets Required

  • Core ML:
    Strong background in machine learning fundamentals – supervised/unsupervised learning, regression/classification, probability & statistics.
  • Recommendation Systems:
    Deep understanding of collaborative filtering, matrix factorization, sequence models, embeddings, two-tower retrieval models, deep retrieval/ranking architectures, and multi-task learning.
  • Programming:
    Proficiency in Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow, JAX). Strong SQL skills.
  • Experimentation:
    Expertise in A/B testing design, statistical significance, confidence intervals, and bias correction.
  • Systems/Infra Awareness:
    Familiarity with model serving, feature stores, online/offline training pipelines, and latency optimization.
  • Communication:
    Ability to translate technical insights into business impact and influence product/engineering roadmaps.

Good to Have:

  • Experience with big data tools (Spark, Trino, Presto, Hadoop, BigQuery, Redshift).
  • Leveraging LLMs for personalization.

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