Senior Data Scientist
Delta Air LinesBengaluru, India30+ days ago
Job descriptionBachelors degree in data science, statistics, mathematics, computer science or engineering field 3+ years of relevant experience in data science / machine learning, working with traditional ML use-cases that use tabular data Hands-on experience in business case delivers with customer / consumer level data Knowledge and experience in implementing Causal ML for experimentation use-cases Strong grasp of core statistics concepts Thorough understanding of key machine learning algorithms (e.g., supervised and unsupervised learning techniques, while avoiding superficial application of algorithms) Expert proficiency in SQL and Python for data science / machine learning Proficiency in using code repository management applications (i.e., GitHub) for storing, maintaining, and collaborating with others on project code Experience in designing and implementing ML / AI models for cloud-based solutions on leading cloud providers (i.e., AWS, Azure, etc.) Embraces diverse people, thinking, and styles Consistently makes safety and security, of self and others, the priority Ability to produce high quality results, work in a collaborative environment by embracing diverse perspectives and with a solution-based approach. Adapt communication clearly and concisely based on team dynamics and expresses thoughts & ideas effectively. Ability to engage effectively with peers and stakeholders to build trust and reliable working relationships. Ability to understand business processes, implement innovative solutions, guide juniors on continuous improvement by constantly updating oneself on current technology & trends. Inquisitive to understand customer and business expectations while bringing more valuable contributions on technical solutions. Personal Git repository of ML projects executed on public datasets and / or leveraged in data science competitions Knowledge of additional machine learning areas such as Generative AI LLMs, RL, Optimization, etc. Knowledge of ML lifecycle management platforms such as ML Flow, AWS Sagemaker, etc. Knowledge of ML Ops activities Self-motivated and take pride in building great experiences for users, whether they are employees or customers 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 Intensely curious about finding a solution to the pain-points of our customers along the entire travel experience
Responsibilities & Primary Functions :
- Responsible for the design, development, and monitoring of ML / AI models (e.g., forecasting, optimization, propensity models, etc.) that directly address the business requirements and drive measurable CX improvements
- Collaborates with COE team and business owners to take a data-driven approach in identifying key customer pain-points, uncover insights, and develop techniques to address these issues
- Demonstrates detailed understanding of data science techniques and machine learning algorithms, calibrating and enhancing existing models, and monitoring model performance
- Write clean, robust, modular Python code for developing ML models
- Leverage Gitlab to store, maintain, and collaborate on project code bases; conduct peer review code of fellow data scientists on the team
- Experience in running experiments applying ML techniques such as Causal ML for evaluating impact of events such as new product launches, failure events, customer pain points, etc.
- Leverage emerging technologies and identify efficient and meaningful ways to deliver meaningful insights to the business
- Presents analysis to business users in a digestible way
What you need to succeed (minimum qualifications) :
Behavioral Competencies :
What will give you a competitive edge (preferred qualifications) :
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Senior Data Scientist • Bengaluru, India