Weekday AI (YC W21)
Data Scientist
Weekday AI (YC W21)India1 day ago
Full-timeOther
This role is for one of the Weekday's clients

Salary range: Rs 8000000 - Rs 9000000 (ie INR 80-90 LPA)

Min Experience: 10 years

Location: Bengaluru

JobType: full-time

We are seeking a highly experienced Data Scientist with a strong foundation in Machine Learning (ML) to lead complex data-driven initiatives and contribute to strategic decision-making. The ideal candidate will have deep technical expertise, a proven record of delivering scalable ML solutions, and the ability to collaborate cross-functionally to drive innovation through data. This role requires both strategic vision and hands-on technical leadership, making it ideal for someone who thrives at the intersection of analytics, technology, and business impact.

Requirements

Key Responsibilities

  • Machine Learning Development: Design, build, and deploy advanced ML models for prediction, classification, recommendation, and optimization across business domains.
  • Data Strategy & Architecture: Lead the end-to-end data science lifecycle — from data collection, preprocessing, and feature engineering to model evaluation and deployment in production environments.
  • Algorithmic Innovation: Develop and refine algorithms to enhance performance, scalability, and interpretability. Stay abreast of the latest trends and advancements in ML, deep learning, and AI.
  • Cross-functional Collaboration: Partner closely with data engineering, product, and business teams to translate complex problems into actionable ML-driven solutions.
  • Model Governance: Ensure model transparency, reproducibility, and compliance with data privacy regulations and ethical AI standards.
  • Mentorship & Leadership: Guide junior data scientists and analysts, fostering a culture of technical excellence and continuous learning within the team.
  • Performance Monitoring: Establish frameworks for model performance tracking, drift detection, and continuous improvement post-deployment.
  • Business Insight Generation: Leverage statistical analysis, predictive modeling, and machine learning techniques to uncover trends and patterns that drive business outcomes.
  • Tool & Framework Optimization: Champion the adoption of modern ML frameworks, libraries, and cloud-based platforms to streamline experimentation and deployment workflows.

Qualifications & Skills

  • Education: Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
  • Experience: 10-15 years of experience in data science or applied machine learning, with a track record of developing and deploying production-grade models.
  • Technical Expertise:
    • Proficiency in Python, R, or Scala for data manipulation and model development.
    • Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP frameworks.
    • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, and XGBoost.
    • Solid grasp of data pipelines, SQL/NoSQL databases, and cloud ML platforms (AWS Sagemaker, Azure ML, or GCP AI Platform).
    • Familiarity with MLOps practices, including model versioning, CI/CD for ML, and containerization using Docker or Kubernetes.
    • Analytical Mindset: Strong command of statistics, probability, and optimization techniques.
    • Soft Skills: Excellent problem-solving, communication, and stakeholder management abilities, with the capacity to explain complex technical concepts to non-technical audiences

    Key Skills

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