Senior Data Scientist

3 weeks ago

Electronic City Phase I, India BLUEWINGS Full time

Key Details:

  • Location: Bangalore-Onsite
  • Type- Work From Office-Bangalore E-city

About the Role

We are seeking a highly motivated Applied Scientist / Machine Learning Engineer to join our Data Science team. This individual will play a key role in enhancing and scaling our existing ML systems and developing new capabilities that support our intelligent decision- making platform.

We are looking for team members who:

· Are deeply curious and passionate about applying machine learning to real-world problems.

· Demonstrate strong ownership and the ability to work independently.

· Excel in both technical execution and collaborative teamwork.

· Have a track record of shipping products in complex environments.

What You'll Do

· Build, train, and deploy machine learning models for forecasting, pricing, and optimization.

· Apply advanced techniques like causal inference, counterfactual analysis, and reinforcement learning to improve decision-making under uncertainty.

· Work with large-scale, noisy, and temporally complex datasets.

· Collaborate cross-functionally with engineering and product teams to move models from research to production.

· Design offline evaluation frameworks and simulations to validate new algorithms before live rollout.

· Generate interpretable and trusted outputs to support adoption of AI-driven rate recommendations.

· Contribute to the development of an AI-first platform that redefines hospitality revenue management.

Required Qualifications

· Bachelor's or Master's degree in Computer Science or related field.

· 5–10 years of hands-on experience in a product-centric company, ideally with full model lifecycle exposure.

· Demonstrated ability to apply machine learning to solve real-world business problems.

· Proficient in Python and machine learning libraries such as scikit-learn, PyTorch, and XGBoost.

· Strong knowledge of forecasting models (time-series and ML-based).

· Deep understanding of machine learning and deep learning foundations.

· Comfort with optimization under uncertainty and experience evaluating ML model performance rigorously.

· Ability to work independently and manage projects end-to-end.

Preferred Experience

· Experience in revenue management, pricing systems, or demand forecasting, particularly within the hotel and hospitality domain.

· Applied knowledge of reinforcement learning techniques (e.g., bandits, Q-learning, model-based control).

· Familiarity with causal inference methods (e.g., DAGs, treatment effect estimation).

· Strong written and verbal communication skills to explain complex technical concepts clearly to cross-functional teams.

· Proven experience in collaborative product development environments, working closely with engineering and product teams.

Interview Process for selected candidates

  1. First Round: Conducted via Google Meet.

  2. Second Round: Technical round Face-to-face/Google Meet.

  3. Third Round: Conducted via Google Meet/Face-to-Face

  4. Third Round: Conducted via Google Meet/Face-to-Face

Job Type: Full-time

Pay: ₹90, ₹190,000.00 per month

Benefits:

  • Health insurance
  • Paid sick time
  • Provident Fund

Ability to commute/relocate:

  • Electronic City, Bengaluru, Karnataka: Reliably commute or willing to relocate with an employer-provided relocation package (Required)

Location:

  • Electronic City, Bengaluru, Karnataka (Required)

Work Location: In person

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