Senior Data Scientist Data Integration · Senior Gurgaon India · Office (Gurgaon India) · As per industry standards

RHIA; Gurgaon; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

RHIA in Gurgaon, India is seeking a Senior Data Scientist to lead data integration and ML initiatives for our hospitality analytics platform. You will architect predictive models, build recommendation and demand forecasting capabilities, and work hands-on with product managers and engineers to ship impactful analytics features.

This senior IC role combines technical leadership with mentorship, requiring deep Python, ML, and cloud experience, and the ability to translate business needs into

Qualifications

• Master’s or PhD in a quantitative field (CS, DS, stats, or engineering).
• 5+ years building and deploying ML models in production.
• Strong Python & ML stack (Pandas, NumPy, Scikit-learn).
• Experience with cloud ML services and data pipelines.
• Excellent communication and collaboration skills.

Responsibilities

• Lead ML model development for the RHIA platform in data integration.
• Architect predictive models, recommender systems, and forecasting solutions.
• Mentor junior scientists and collaborate with product/engineering teams.
• Ensure model quality with monitoring, testing, and CI/CD for ML jobs.
• Translate business needs into measurable data projects with KPIs.

Skills

Python for DS

SQL expertise

ML deployment

Leadership

Communication

Education

Masters/PhD

Tools

TensorFlow

PyTorch

Docker

Git

Cloud platforms

Job description

Data Integration · Senior Gurgaon India · Work from office (Gurgaon India) · As per industry standards

About the role

We are seeking a Senior Data Scientist to lead the development of machine learning and analytics capabilities within our platform. You will work on high-impact projects, from building recommendation engines to predictive models, and collaborate closely with product managers and engineers. This is a hands-on role for someone who wants to see their models make a tangible difference in a product used globally.

Role overview

Senior Data Scientist, Data Integration

Company: RHIA (Real time Hotel Intelligence and Analytics)

Location: Gurgaon, India

Position: Senior

Category: Data Integration

About RHIA

Our hotels already have great systems. They just don't talk to each other. RHIA unifies every data stream across your operation-PMS, CRM, booking engines, F&B, and beyond. One platform. Complete visibility. Founded in Dubai, UAE, by industry veterans, hotel owners, and institutional investors, we are building a team of charismatic and bright professionals to shape the next chapter of the hospitality industry.

About the Role

We are seeking a Senior Data Scientist to lead the core efforts of our Data Integration team. In this role, you will architect the intelligent systems that unify disparate hotel data sources (PMS, CRM, etc.) into a single, coherent analytical platform. You will move beyond basic data pipelines to develop sophisticated models that generate predictive insights, detect anomalies, and drive automated decision-making for our hospitality clients. This is a senior individual contributor role with significant technical leadership and mentorship responsibilities.

Responsibilities

• Design, develop, and deploy machine learning and statistical models to solve complex business problems in hospitality, such as demand forecasting, guest personalization, and operational efficiency.
• Lead the end-to-end data science lifecycle for integration projects: from problem definition and data exploration with integrated datasets to model training, validation, and deployment.
• Collaborate closely with Data Engineers to define the structure and quality of data pipelines, ensuring models are built on reliable, timely data.
• Translate ambiguous business needs from stakeholders into clear, measurable data science projects with defined KPIs.
• Establish MLOps best practices for model versioning, monitoring, and retraining within our cloud-based platform.
• Mentor junior data scientists and analysts, fostering a culture of technical excellence and collaborative problem-solving.
• Communicate complex analytical results and model behavior effectively to both technical and non-technical audiences.
• Stay current with advancements in data science, machine learning, and the hospitality tech landscape.

Requirements

• Advanced degree (Master's or PhD) in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
• 5+ years of professional experience in a Data Scientist role, with a proven track record of building and deploying machine learning models into production environments.
• Expert proficiency in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong experience with SQL and querying complex relational databases.
• Deep understanding of machine learning algorithms (supervised/unsupervised learning, time-series analysis, NLP) and their practical applications and limitations.
• Solid experience with cloud platforms (AWS, GCP, or Azure) and their data/ML services.
• Experience with version control (Git) and containerization (Docker).
• Excellent problem-solving skills and the ability to work independently on complex, open-ended challenges.
• Strong written and verbal communication skills in English.

Nice to Have

• Prior experience in the hospitality, travel, or related sector.
• Familiarity with data integration tools and concepts (ETL/ELT, APIs, streaming data).
• Experience with big data technologies (Spark, Databricks).
• Knowledge of MLOps tools for model deployment and monitoring (MLflow, Kubeflow).
• Publications, contributions to open-source projects, or presentations at relevant conferences.

What We Offer

• The opportunity to solve foundational problems in a growing startup backed by industry experts.
• A senior role with significant autonomy and impact on product direction and technical strategy.
• A collaborative and inclusive work environment that values diverse perspectives.
• Competitive compensation and benefits package.
• Professional development opportunities and support for continuous learning.
• A chance to shape the future of data-driven decision-making in the global hospitality industry.

Responsibilities

• Design, develop, and refine machine learning models and algorithms for the Rhia platform, including personalized travel recommendation engines, predictive models for pricing/demand forecasting, NLP models, and optimization algorithms for travel logistics.
• Dive into rich datasets (user interaction, booking, external data) to uncover trends and insights, performing exploratory data analysis to guide product decisions and identify new AI opportunities.
• Work closely with product and engineering teams to integrate models into the product workflow, ensuring performant and reliable delivery of model outputs via APIs or embedded application features.
• Continuously monitor model performance in production, use A/B testing and metrics tracking to evaluate AI feature effectiveness, and iterate on models by retraining, fine-tuning, or trying new techniques.
• Collaborate with data engineers to ensure underlying data infrastructure supports needs, define data requirements for training, and help establish best practices for data cleanliness, feature engineering, and scalable pipelines.
• Act as an in-house expert on data and AI, providing analytical support for business decisions and translating data findings into actionable recommendations for non-technical stakeholders.
• Stay abreast of the latest research and trends in AI/machine learning, experiment with new algorithms or technologies, and promote a culture of innovation by sharing insights or running training sessions.
• Lead projects and possibly mentor junior data scientists or analysts.

Requirements

• Master's or PhD in a quantitative field (Computer Science, Data Science, Statistics, Engineering, etc.) or equivalent practical experience.
• 5+ years of hands-on experience in data science or machine learning roles, with a track record of building models deployed in real products or services.
• Strong proficiency in Python (or R) and the core data science stack (pandas, NumPy, scikit-learn).
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of SQL for data querying.
• Comfortable working in a cloud environment (AWS, GCP, or Azure).
• Deep knowledge of a broad set of ML techniques, from classic algorithms (regression, tree-based models, clustering) to modern approaches (deep learning for NLP/CV, recommendation algorithms).
• Ability to choose the right ML approach for a given problem and justify decisions.
• Knowledge of evaluation methodologies and avoiding common pitfalls (overfitting, bias in data).
• Experience with SaaS products and an interest in travel/tech sectors.
• Excellent data analysis and statistical reasoning skills, hypothesis-driven approach.
• Adept at translating business questions into data problems, and vice versa.
• Comfortable with AB testing design and analysis.
• Ability to explain complex models and results to non-technical stakeholders in clear terms.
• Experience creating data visualizations or dashboards.
• Strong collaboration skills to work with cross-functional teams.
• Self-driven and organized, capable of managing priorities in a fast-paced startup environment.

Nice to have

• Experience with managed ML services (like SageMaker, ML Engine) and containerization (Docker).
• Direct experience with travel industry data (fare pricing, seasonality, user travel preferences).
• Prior work in the travel industry or related fields (hospitality, airlines, ride-sharing) handling relevant datasets (user ratings, ticketing data, geolocation data).
• Familiarity with geospatial analysis or mapping data.
• Experience with big data tools and frameworks (Hadoop, Spark) and working with very large datasets.
• Knowledge of real-time data processing or streaming (Kafka, Flink).
• Experience setting up ML pipelines and model deployment workflows (CI/CD for models).
• Use of tools like MLflow, Kubeflow, or Docker/Kubernetes for serving models in production.
• Experience with deep learning in NLP (transformers, BERT/GPT-based models) or computer vision.
• Experience with recommendation system algorithms (collaborative filtering, matrix factorization) or reinforcement learning.
• Publications in reputable journals/conferences or patents in the field of AI/ML.
• Participation in data science competitions (Kaggle) or contributions to open-source ML libraries.
• Demonstrated mentorship or leadership, such as leading a data science team or project.
• Passion for travel.
• Adaptability and a constant learning attitude.

About the Data Integration

Focuses on connecting and unifying various hotel data streams (PMS, CRM, etc.).

About RHIA

Our hotels already have great systems. They just don't talk to each other. RHIA unifies every data stream across your operation-PMS, CRM, booking engines, F&B, and beyond. One platform. Complete visibility.RHIA - "Real time Hotel Intelligence and Analytics" founded by industry veterans, hotel owners and institutional investors is looking for charismatic, bright team members to join us in shaping the next chapter of the hospitality industry.

Hospitality Technology 1-10 Est. 2025 Dubai, UAE Website