Freshers Jobs Vacancy – Data Science Analyst Job Opening at American Express

American Express is hiring for the role of Data Science Analyst for the Bangalore & Gurugram locations. Please read the complete information carefully and apply if you are eligible for Data Science Analyst Job Opening at American Express

Eligibility Criteria:

Education:MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields

Job Location: Bangalore, Gurugram

Experience: 0 - 1.5 years 

Skills:SAS, R, Python, Hive, Spark, SQL ,Analytics & big data workstreams

Salary: Upto ₹11.8 LPA and ₹17.0 LPA (As per Glassdoor)

Responsibilities of Data Science Analyst Job Opening at American Express

• Understand the core business of AXP and the levers behind various decisions
• Analyze large amounts of data to derive business insights and create innovative solutions
• Leverage the power of closed loop through the Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Clear articulation and structuring of business findings across the prospect and customer domains to the leadership and key partners
• Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Minimum Qualifications:

• MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields

• 0-18 months of experience in analytics, big data workstreams
• Ability to drive project deliverables to achieve business results
• Ability to work effectively in a team environment
• Strong communication and interpersonal skills
• Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
• Ability to Integrate with Cross-Functional Business Partners Worldwide
• SAS, R, Python, Hive, Spark, SQL
• Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering

For more info: Click here!!

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