Analyst-Data Science-American Express

📢 Job Opportunity Alert!

Position: Analyst-Data Science
Location: Gurugram, Bengaluru
Company: American Express
Type: Full-Time
Experience: Fresher/Experienced

Responsibilities:

• Define and articulate a long-term AI product strategy and roadmap with clear business metrics and outcomes.
• Solve complex business problems by prioritizing and owning products and solutions to meet business objectives.
• Prioritize and manage product backlogs, balancing stakeholder requirements and evaluating features against evolving AI adoption needs.
• Contribute to product lifecycle processes, including market research, competitive analysis, planning, positioning, roadmap development, requirements finalization, and product development.
• Translate product roadmaps into detailed requirements and acceptance criteria.
• Drive end-to-end ML/AI product development with engineers and designers, transitioning MVPs to production-grade capabilities.
• Ideate and launch innovative ML/AI products, fostering organization-wide user adoption.
• Curate and deliver technical training in AI, Cloud, Hive, and Spark for users of varying expertise.
• Create proof-of-concept (POC) AI-ML products with scalability potential.

Requirements:

• Technical Skills:

  • Strong technical background in AI/ML with expertise in Python, SQL, data analytics, and data visualization.
  • Knowledge of the ML model development lifecycle (MDLC), including feature selection, algorithm families, optimization, deployment, and serving challenges.
  • Familiarity with big data platforms like Hadoop and Spark and cloud platforms such as GCP.
  • Proficiency in designing and building big data tools and frameworks.
  • Experience with notebook-based IDEs like Jupyter and Airflow.
  • Knowledge of ML model deployment systems, regulatory, and governance policies.

• Analytical and Problem-Solving Skills:

  • Strong quantitative, analytical, and structured problem-solving abilities.

• Collaboration and Communication:

  • Excellent verbal and written communication skills.
  • Demonstrated ability to collaborate with global teams and lead cross-functional efforts involving engineering, UX, and QA.

• Product Management Tools:

  • Familiarity with tools such as Rally, Jira, and Confluence.

• Educational Background:

  • Undergraduate or Master’s degree in Computer Science, Information Technology, Mathematics, Operations Research, or Statistics.
  • An MBA from a globally reputed institute is preferred.

• Additional Skills:

  • Creativity, self-sufficiency, and the ability to prioritize effectively.
  • Demonstrated ability to drive focus and excellence in high-performing teams.

How to Apply: Click Here