American Express Company Hiring For Analyst-Data Science | Freshers are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.
Job Description :-
Company Name: | American Express |
Job Role: | Analyst-Data Science |
Qualification: | Bachelor’s/Master’s degree |
Experience: | Freshers/Experienced |
Batch: | 2020/2021/2022/2023/2024 |
Location: | Bangalore, Gurugram, India |
CTC/Salary: | INR 4.5-7 LPA (Expected) |
Job Responsibilities
- Contribute to defining and articulation of long-term AI product strategy and roadmap with clearly defined business metrics and outcomes.
- Solve complicated business problems by prioritization & ownership of products and solutions to meet business objectives.
- Prioritize and manage product backlogs, by balancing the requirements of partners and stakeholders. Evaluate prospective features in AI Products pipeline against changing requirements in the direction of AI adoptions.
- Contribute to all product lifecycle processes including market (external) research, competitive analysis, planning, positioning, roadmap development, requirements finalization and product development.
- Translate product roadmap into well defined requirements and acceptance test criteria.
- Drive end-to-end ML/AI product developments with a team of engineers and designers. Transform MVPs to production grade capabilities in collaboration with engineering teams
- Contribute to ideation and launch of innovative ML/AI products and capabilities. Innovate ways to evangelize product to drive Amex wide user adoption
- (For Learn): Curate and Deliver technical trainings in AI, Cloud, Hive and Spark for beginners to advance level users
- Create POCs for best in class AI-ML innovative products with the potential to scale
Minimum Qualifications
- Strong technical background in AI / ML with background on python, SQL, data analytics and data visualization.
- Strong quantitative, analytical, and structured problem-solving skills.
- Familiarity with ML model development lifecycle (MDLC): feature selection and engineering, different ML model algorithm families, optimizations considerations for ML models, deployment and serving challenges.
- Knowledge of Big Data Platforms such as Hadoop, Spark and Cloud Platforms such as GCP.
- Knowledge of designing and building big data tools and frameworks
- Demonstrate creativity and self-sufficiency along with strong interpersonal/ collaborative skills and experience working in global teams
- Understanding of the various ML Model deployment systems and processes with a basic knowledge of various model regulatory and governance policies.
- Ability to prioritize well, communicate clearly and compellingly and understand how to drive a high level of focus and excellence with a strong, talented opinionated engineering, UX and QA teams
- Knowledge of Notebook based IDE for performing AI / ML tasks such as Jupyter and Airflow.
- Familiarity with product management tools such as Rally, Jira, and Confluence
- Excellent verbal and written communications skills
- Undergraduate/Master’s in Computer Science / Information Technology / Mathematics / Operations Research / Statistics, MBA from institutes of global repute.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
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