Analyst - Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. 

Function Description:

Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for deploying Machine Learning models and build Advanced Analytics insight use cases.

Prototype and simulate use cases for Machine learning basis the GSN operating environment and ability to operationalize into workable algorithms & solutions.

Purpose of the Role:

• The role is expected to provide strategic guidance using Machine Learning / Advanced Analytics across multiple operating areas within GSN including unstructured text mining and structured data mining to help business imperatives
• Responsibilities:
• Conceptualize, test and prototype beta versions of algorithms/ advanced analytics independently working along with business counterparts in larger GSN organization
• Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business be on top of trends
• Business Outcomes:
• Bring innovation in Machine Learning techniques to optimally deploy the ML architecture
• Drive structural improvement projects via Machine Learning and achieve the efficiency goals

Leadership Outcomes:

• Put enterprise thinking first and always balance stakeholder agendas
• Develop potential ML talent pool in GSG Advanced Analytics team by actively grooming internal resources and at the same time look at external talent
• Continuously engage with the external Data Science world to track the new happenings
• Past Experience:
• At least 1-2 years of overall experience in the field of Machine Learning / Advanced Analytics using NLP techniques
• Complete grip on Python environment and libraries (scikit, nltk, pandas and numpy). 

Academic Background:

• Graduate in Computer Science / Statistics / Econometrics (preferably post graduate)
• Good experience and working profile in Machine Learning / Advanced Analytics

Functional Skills/Capabilities:

• Deep curiosity and questioning skills
• Ability to create innovative data solutions
• Partner effectively with business stakeholders

Technical Skills/Capabilities:

• Proficient across technology stacks including Hive, Python, PySpark etc
• Knowledge of one of Deep learning (keras/TF) / ML (scikit/xgboost) / Statistics (statsmodels) is mandatory

Behavioral Skills/Capabilities:

Enterprise Leadership Behaviors

• Set The Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
• Bring Others With You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
• Do It The Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage