American Express Data Science Analyst Off Campus Recruitment Drive 2022: Greetings From TblogQus Jobs, Today we bring you a new job i.e American Express Data Science Analyst Off Campus Recruitment Drive for the role of Data Science Analyst. Kindly read the full post for all the details regarding the i.e Organization Name, Job Profile, Job Location, Education Requirements, Job Description, Job Skills Requirement, Preferred Skills, Experience Level and Apply Link Below:-
Job Summary of American Express Data Science Analyst Off Campus Recruitment Drive:
Organization:- American Express
Education: Bachelor’s/Master’s Degree in Statistics, Mathematics, Engineering, Economics, Business Administration, or related fields from Premier Institutes only
Job Profile:- Data Science Analyst
Job Location:- PAN India/Work From Home
Experience:- Freshers & Experience Both Can Apply
Salary Package:- As Per Company Standards/-
Job Description for the American Express Data Science Analyst Off Campus Recruitment Drive 2022:
Job Role / Description & Responsibilities:
ur world class analytics team applies rigorous, solution-oriented analysis and modeling techniques to
- Develop and deploy effective solutions
- Maintain and enhance solutions over time
- Track and diagnose market changes
Responsibilities
- Delivering on modeling priorities – Developing and enhancing statistical models by utilizing the best-in-class modeling techniques with available data
- Exploration of new Information sources to create predictive attributes that provide incremental discrimination
- Tracking and monitoring the performance of existing models and conduct reviews
- Work closely with other teams to develop system capabilities, models, controls and designing data elements
Factors to Success:
1) Business Outcomes:
- Drive billing, revenue growth and profitability through advanced analytical techniques
- Maximize business returns by institutionalizing efficient and accurate models.
- Innovate Modeling Techniques and Variable creation
- Ensure Modeling Accuracy and enhance modeling efficiency in existing processes using Machine Learning
2) Leadership Outcomes: - Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the world’s best customer experiences every day
Critical Factors to Success
- Build cutting edge and customized Machine Learning/Artificial Intelligence algorithms to enhance modeling accuracy and efficiency
- Innovate modeling techniques and variable creation to solve business problems
- Support analytics across the lifecycle from pre-sales to attrition
- Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders
- Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
- Demonstrate learning agility, make decisions quickly and with the highest level of integrity
- Lead with a digital mindset and deliver the world’s best customer experiences every day
- Experience:
- 0-3 years’ experience in Analytics, Data Science, Machine Learning, or related fields
- Academic Background:
- Bachelor’s/Master’s Degree in Statistics, Mathematics, Engineering, Economics, Business Administration, or related fields from Premier Institutes only
- Functional & Technical Skills/ Capabilities:
- Python, R, SAS, SQL
- Hive, Pig, Pyspark
- Advanced Statistical Techniques: Gini, Concordance, F-Score
- Preferred:
– Deep Learning
– Knowledge of Digital Channels & Products
– Expertise in High Performance Computing
- Knowledge of Platforms
- Hadoop/Spark
- Big Data – Cornerstone
- Behavioral Skills:
- 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
- Ability to learn quickly and work independently with complex, unstructured initiatives.
- Flexibility and adaptability to work within tight deadlines and changing priorities.
- Strong communication & interpersonal skills and ability to work effectively in a team environment & collaborate across teams.
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