**Experienced Data Scientist - Quantitative Analysis and AI Solutions at United Airlines, Elmira, NY, $35/Hour**

Join the United Airlines Team: Where Diversity Drives Innovation

United Airlines is a leading global airline that connects people and brings the world together. We are committed to creating a diverse and inclusive work environment that fosters innovation and growth. As a Data Scientist at United Airlines, you will have the opportunity to work on complex problems, develop cutting-edge solutions, and make a positive impact on our business. Our team is dedicated to using data-driven insights to drive decision-making and improve customer experiences.

About the Role

We are seeking an experienced Data Scientist to join our team in Elmira, NY. As a Data Scientist, you will be responsible for developing and implementing quantitative analysis and AI solutions to drive business outcomes. You will work closely with cross-functional teams to identify business problems, develop predictive models, and deploy solutions that drive significant returns on investment.

Key Responsibilities:

• Develop and implement quantitative analysis and AI solutions to drive business outcomes, using advanced statistical techniques, machine learning algorithms, and structured programming languages.
• Identify and investigate complex business problems, and develop predictive models to solve them, using large datasets and advanced analytics tools.
• Collaborate with cross-functional teams to design, develop, and deploy solutions that drive significant returns on investment.
• Communicate results to stakeholders, including senior leaders and clients, and provide ongoing analytical support to business partners.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI, and apply this knowledge to drive business outcomes.
• Develop and deliver presentations and reports that summarize findings and recommendations.
• Participate in model design, development, and testing, and work with product delivery teams to deploy solutions.
• Identify solution quality risks and opportunities for improvement.

Requirements and Qualifications

Essential Qualifications:

• Postgraduate education (PhD or ABD) in a quantitative discipline, such as statistics, mathematics, or computer science.
• Coursework or work experience in statistics, machine learning, and predictive analytics.
• Proficiency in programming languages, such as Python, R, or SQL.
• Experience with data visualization tools, such as Tableau or Power BI.
• Excellent business, technical, and communication skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Strong problem-solving skills and attention to detail.

Preferred Qualifications:

• Experience with machine learning algorithms and deep learning techniques.
• Knowledge of cloud-based data platforms, such as AWS or Azure.
• Experience with agile development methodologies.
• Familiarity with United Airlines' business operations and systems.

What We Offer

At United Airlines, we offer a unique and rewarding work environment that values diversity, inclusion, and employee growth. Our benefits include:

• Competitive salary and bonus structure.
• Comprehensive health insurance and wellness programs.
• Parental leave and family-friendly policies.
• Employee travel benefits and discounts.
• Opportunities for career growth and professional development.
• Diverse and inclusive work environment.

Our Culture

At United Airlines, we believe that diversity drives innovation and is the foundation of everything we do. Our culture is built on the principles of respect, integrity, and teamwork. We strive to create an inclusive work environment that values diverse perspectives and promotes employee engagement.

How to Apply

If you are a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please click the "Apply Now" button to submit your application.

United Airlines is an equal opportunity employer. We welcome applications from diverse candidates and are committed to creating an inclusive work environment.