Senior Analyst-Data Science
American Express (company site, opens in a new tab)2–3 yrsGurugram, BengaluruHybridDirect career pageEst. 15–22 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at American Express
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at American Express you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of ML/AI models including machine learning, NLP, and generative AI to solve sales and client engagement business problems.
- Deliver actionable analytics and insights into sales and client behavior supporting forecasting, incentive refinement, anomaly detection, and strategic decision making.
- Collaborate cross-functionally to build scalable data pipelines, operationalize solutions in cloud environments, and communicate performance metrics and insights to executive leadership.
Minimum Requirements
- 2–3 years of relevant work experience in data science, analytics, or related quantitative field.
- Bachelor’s degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or Economics.
- Proficiency in Python and SQL; experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and familiarity with NLP techniques.
- Experience with cloud-based data platforms (e.g., GCP, AWS, Azure) and data visualization tools (e.g., Tableau, matplotlib) to deliver insights.
Ideal Candidate Profile
- Experience working in fast-paced, business-facing roles that require translating complex data into business-relevant insights impacting sales strategy and growth.
- Proven ability to operationalize machine learning and AI models in scalable cloud environments with cross-functional stakeholders including Sales, Marketing, and Technology.
- Strong technical expertise in modern ML frameworks and generative AI methods combined with effective communication skills for technical and executive audiences.