Data Scientist

Responsibilities:

• Gather, analyze, and leverage large sets of raw data to deliver actionable insights using SQL, SAS, Python, and other technologies.
• Develop AI/ML models to deliver personalized experiences to customers, improve acquisition and engagement efforts through precise targeting and drive customer satisfaction and loyalty.
• 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 and Loyalty.
• Collaborate with business owners to take a data-driven approach in identifying revenue or customer engagement opportunities and recommend actions for further improvement.
• Communicate engagement trends and opportunity areas to the team, business stakeholders, and leaders in a concise and easily consumable way through both written and verbal communication.
• Stay current with the advancements in AI and software engineering tools and identify ways of implementing them to enhance efficiency and deliver business impact.

Requirements:

• 2 to 4 years of relevant experience.
• Bachelor's or master's degree in data science, statistics, mathematics, computer science, or engineering.
• Strong experience in building AI/ML models and delivering data science projects.
• Deep understanding of various machine learning techniques, the ability to formulate an analytical problem and to choose the best technique for data and the business objective.
• Expert-level proficiency in SQL and Python.
• Intermediate proficiency in data visualization tools such as Power BI, Tableau, etc.
• 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.

Behavioral Competencies:

• Ability to work in collaborative environments and embrace diverse perspectives.
• Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.
• Ability to engage effectively with peers and stakeholders to build strong partnerships.
• Prioritize, maintain focus, and consistently deliver commitment.
• Proactively understand customer expectations and willingness to create customer-based solutions.

Preferred Qualification:

• 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.