Senior Data Scientist

India - Remote

Weekday

At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...

View all jobs at Weekday

Apply now Apply later

This role is for one of the Weekday's clients

Min Experience: 7 years

Location: Remote (India)

JobType: full-time

We are looking for an experienced and highly skilled Senior Data Scientist to develop and deploy advanced AI/ML solutions that address critical business challenges. This role involves working with complex datasets, applying cutting-edge statistical and machine learning techniques, and delivering models that create measurable business value. The ideal candidate will combine strong mathematical foundations with a pragmatic approach to solving real-world problems.

Requirements

Key Responsibilities

  • Translate complex business problems into mathematical models, predictive algorithms, or optimization frameworks.
  • Perform in-depth exploratory data analysis (EDA), feature selection, and feature engineering using advanced statistical techniques.
  • Design, build, tune, and evaluate machine learning and deep learning models for diverse use cases, including NLP, computer vision, forecasting, and recommendation systems.
  • Research and experiment with state-of-the-art approaches (e.g., Transformers, LLMs, Graph Neural Networks), adapting them for production use.
  • Apply model interpretability tools (e.g., SHAP, LIME, Explainable AI) and present insights to stakeholders in a clear and actionable manner.
  • Conduct statistical testing (A/B testing, hypothesis testing) to assess the real-world impact of deployed models.
  • Collaborate with engineering teams to deploy models via APIs or serving platforms, and contribute to MLOps practices.
  • Keep up with advancements in machine learning and AI to incorporate innovative methods into project work.

Required Skills

  • 7+ years of experience in Data Science, Machine Learning, or Applied Mathematics roles.
  • Strong academic foundation in statistics, probability, linear algebra, optimization, and calculus.
  • Proficiency in Python and ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, HuggingFace).
  • Proven experience in building and deploying production-grade models with demonstrated business impact.
  • Deep understanding of ML evaluation metrics (ROC-AUC, F1, Precision-Recall, cost-sensitive evaluation).
  • Familiarity with cloud-based ML services (e.g., AWS SageMaker, Google Vertex AI, Azure ML).
  • Knowledge of model fairness, bias detection, and responsible AI best practices.

Preferred Skills

  • Hands-on experience with LLMs, NLP, computer vision, or time-series forecasting at scale.
  • Research or publication experience in peer-reviewed conferences or journals.
  • Familiarity with advanced topics like AutoML, reinforcement learning, or Bayesian optimization.
  • Strong analytical mindset with the ability to work with complex, unstructured, and noisy real-world data.
  • Excellent balance of scientific rigor and business acumen to guide model development and deployment.
  • Commitment to building scalable, interpretable, and impactful AI solutions.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Data Science Jobs

Tags: A/B testing APIs AWS Azure Bayesian Computer Vision Data analysis Deep Learning EDA Engineering Feature engineering HuggingFace Linear algebra LLMs Machine Learning Mathematics ML models MLOps NLP NumPy Pandas Python PyTorch Reinforcement Learning Research Responsible AI SageMaker Scikit-learn Statistics TensorFlow Testing Transformers Vertex AI

Perks/benefits: Conferences

Regions: Remote/Anywhere Asia/Pacific
Country: India

More jobs like this