Amadeus is hiring for a fresher entry level Data Scientist role in India

Position:

• Title: Data Scientist

Company:

• Name: Amadeus

Location:

• City: Bangalore

• Country: India

Job Type:

• Type: Full-time

Job Mode:

• Mode: Hybrid (Combination of on-site and remote work)

Job Requisition ID:

• ID: R26757

Years of Experience:

• Experience: Not specified; as per CV, looks like a fresher entry level role; 0-3 years

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Company Description 

• About Amadeus:

  • Amadeus is a global technology company that plays a pivotal role in revolutionizing the travel industry by connecting travel providers, agencies, and corporations through advanced software solutions.

  • With a workforce of over 20,000 passionate professionals spread across 100+ global locations, Amadeus thrives on innovation and a deep commitment to enhancing travel experiences.

  • The company’s solutions help airlines, hotels, travel agencies, and other partners deliver seamless services to millions of travelers worldwide.

  • Amadeus leverages cutting-edge technologies such as artificial intelligence, machine learning, and data analytics to transform the way people explore and experience the world.

  • Driven by a culture of continuous improvement and collaboration, Amadeus fosters an environment where employees are encouraged to grow and innovate.

  • Diversity, Equity, and Inclusion (DEI): Amadeus is deeply committed to DEI, ensuring a fair and inclusive work environment that allows every employee to achieve their fullest potential.

  • The company values a multicultural workforce and actively works to remove barriers that hinder equitable growth.

  • As an equal opportunity employer, Amadeus welcomes candidates from diverse backgrounds, ensuring that hiring decisions are made solely based on merit and qualifications.

  • Through its innovative products and services, Amadeus not only shapes the future of travel but also contributes positively to the environment and society at large.

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Profile Overview 

• Role Summary:

  • The Data Scientist at Amadeus will play a pivotal role in analyzing complex data sets to derive meaningful insights that improve business outcomes.

  • As part of a highly collaborative and innovative team, the Data Scientist will be responsible for leveraging machine learning models, predictive analytics, and statistical algorithms to solve business problems.

  • Responsibilities include:

    • Designing, developing, and optimizing machine learning models to support various business processes.

    • Collaborating with cross-functional teams to understand business challenges and translate them into data-driven solutions.

    • Conducting exploratory data analysis to identify trends, patterns, and anomalies that inform strategic decisions.

    • Implementing advanced statistical techniques to assess and validate data models.

    • Ensuring the scalability, efficiency, and performance of data models in production environments.

  • Ideal Candidate Attributes:

    • Strong analytical mindset with the ability to process and interpret large volumes of data.

    • Excellent communication skills to convey complex data findings to non-technical stakeholders.

    • A passion for innovation and a desire to contribute to the growth of the travel industry through data-driven insights.

    • Commitment to continuous learning and adapting to emerging technologies in the field of data science.

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Qualifications 

• Educational Background:

  • A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.

• Technical Expertise:

  • Proficiency in programming languages such as Python or R.

  • Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.

  • Strong knowledge of SQL and NoSQL databases to manage and manipulate large datasets.

  • Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms.

  • Expertise in statistical techniques, predictive modeling, and advanced data analysis methodologies.

• Analytical and Problem-Solving Skills:

  • Ability to develop and optimize machine learning algorithms to enhance business operations.

  • Strong problem-solving skills to analyze complex data sets and generate actionable insights.

• Communication and Collaboration:

  • Strong verbal and written communication skills to effectively present findings to technical and non-technical stakeholders.

  • Experience working in a collaborative team environment and engaging with cross-functional teams.

• Preferred Qualifications:

  • Previous experience in the travel or technology industry is a plus.

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

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Additional Info 

• Why Join Amadeus:

  • Amadeus offers a dynamic and inclusive work environment where employees can grow, innovate, and make a meaningful impact on the future of travel.

  • As part of a global team, employees benefit from exposure to diverse cultures and ideas, fostering a rich and collaborative atmosphere.

  • Amadeus provides ample opportunities for professional development through continuous learning programs, mentorship, and hands-on project experiences.

• Diversity, Equity, and Inclusion Initiatives:

  • The company prioritizes creating a culture where every employee feels a sense of belonging and is treated fairly.

  • Through its commitment to DEI, Amadeus actively promotes hiring and advancement opportunities for underrepresented groups in the tech industry.

• Employee Benefits:

  • Competitive compensation packages along with comprehensive healthcare and wellness benefits.

  • Flexible work options, including a hybrid work model that enables employees to balance professional and personal commitments effectively.

  • Robust learning and development programs to upskill and stay abreast of the latest technological advancements.

• Application Deadline:

  • Candidates are encouraged to apply by April 4, 2025, as the position has limited time left for applications.

  • Join Amadeus today to be part of a mission that shapes the future of travel while fostering growth and innovation.

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Detailed Role Responsibilities

1. Data Modeling and Machine Learning Development

• Develop and optimize machine learning models to enhance business decision-making processes.

• Apply statistical models and predictive algorithms to solve complex business problems.

• Design and implement scalable data pipelines for large-scale data processing.

• Collaborate with engineering teams to integrate models into production environments.

2. Data Analysis and Insights Generation

• Conduct exploratory data analysis (EDA) to identify trends, anomalies, and correlations.

• Develop actionable insights and recommendations based on data patterns.

• Work closely with business stakeholders to understand their data requirements and translate them into analytical solutions.

3. Collaboration with Cross-Functional Teams

• Engage with product managers, engineers, and business teams to develop and implement data-driven strategies.

• Communicate findings and insights to both technical and non-technical audiences.

• Provide mentorship and guidance to junior data scientists and analysts.

4. Performance Monitoring and Model Evaluation

• Continuously monitor and fine-tune models to ensure high performance and accuracy.

• Evaluate model effectiveness through rigorous testing and validation techniques.

• Identify areas of improvement and implement necessary changes for optimization.

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Key Skills and Competencies

1. Technical Proficiency

• Expertise in Python, R, and SQL for data manipulation and analysis.

• Strong knowledge of machine learning frameworks and libraries.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment.

2. Analytical and Statistical Skills

• Advanced understanding of statistical techniques such as regression, classification, clustering, and anomaly detection.

• Ability to perform feature engineering and model optimization to enhance performance.

3. Communication and Visualization

• Strong ability to translate complex data findings into actionable business insights.

• Proficiency in data visualization tools like Tableau or Power BI to convey insights effectively.

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Work Environment and Culture

1. Inclusive and Collaborative Culture

• Amadeus fosters a culture of belonging where employees from diverse backgrounds are valued and empowered to contribute their unique perspectives.

• The company emphasizes teamwork, collaboration, and knowledge-sharing to drive innovation.

2. Opportunities for Professional Growth

• Amadeus invests in employee development by offering training programs, mentorship, and growth opportunities.

• Employees have access to cutting-edge technologies and resources to enhance their skills.

3. Work-Life Balance

• The hybrid work model provides flexibility, allowing employees to balance their professional and personal responsibilities effectively.

• Amadeus supports a healthy work-life balance by encouraging time off and flexible working hours.

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Application Process and Deadline

• Application Deadline: April 4, 2025

• Interested candidates are encouraged to submit their applications before the deadline to be considered for this exciting opportunity.

• Join Amadeus and contribute to shaping the future of travel through data science!

Please click here to apply.

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