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 the ability 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, 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 the 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 on commitments.
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 takes 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.

Experience
2-4 yrs