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Senior Data Scientist

Delta Air LinesBengaluru, India

6 days ago

Job description

About Delta Tech Hub :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Primary Functions :

Gather, analyze, and leverage large sets of raw data to deliver actionable insights using SQL, SAS, Python, and other technologies.
Identify opportunities to create business value through analytics projects.
Develop AI / ML models to more efficiently / effectively forecast Loyalty revenue line items.
Collaborate with business owners to take a data-driven approach in identifying better revenue forecasting opportunities and recommend actions for further improvement.
Recommend and implement customer data models and tools to make data and insights accessible to Loyalty and other divisions at Delta.
Track and report key performance metrics across all areas of Customer Engagement & Loyalty.
Communicate engagement trends and opportunity areas to the team, business stakeholders, and senior leaders in a concise and easily consumable way through both written and verbal communication.

Minimum Qualifications :

Bachelors or Masters degree in data science, statistics, mathematics, computer science or engineering.

5 to 7 years of relevant experience.

Strong experience and expert level proficiency in building AI / ML models and delivering end-to-end data science projects.

Deep understanding of various machine learning techniques, the ability to formulate an analytical problem and to choose the best technique for the data and the business objective.

Expert-level proficiency in SQL and Python.

Intermediate proficiency in data visualization tools such as Power BI or Tableau, etc.

Ability to drive business conversations and present model results and insights to business stakeholders using tools such as PowerPoint.

Ability to function effectively in a fast-paced environment.

Problem-solving skills with the ability to translate data into actionable insights.

Embraces diverse people, thinking, and styles.

Consistently makes safety and security, of self and others, the priority.

Preferred Qualifications :

Working knowledge of Analytics applications across the Customer lifecycle in any industry

Working knowledge of statistical / machine learning tools (e.g., R, TensorFlow) preferred

Experience in designing data models for cloud-based solutions from leading cloud providers such as AWS, Azure, etc.

Self-motivated and take pride in building great products for key stakeholders.

Resourceful in finding the data and tools you need to get the job done.

Not afraid to ask for help when you need it or help teammates when they need a boost.

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Senior Data Scientist • Bengaluru, India