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American Express Off Campus Hiring Analyst Data Science : At American Express, we empower our customers and employees to progress in incredible ways. With our core values of integrity, innovation, and inclusivity, we are committed to providing world-class customer experiences and fostering a culture where everyone belongs. Join Team Amex, where every contribution is valued, and help us shape the future of financial services.
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Job Description
Zebra Off Campus Freshers Recruitment Hiring For Software Engineer
Position Overview
This role involves the development, deployment, and validation of predictive models and integrating them with business logic to drive impactful and profitable decisions in risk, fraud, and marketing.
Key Responsibilities
- Analyze large datasets to uncover actionable business insights.
- Develop, deploy, and validate predictive models for risk, fraud, and marketing.
- Leverage machine learning and big data tools to drive intelligent decision-making.
- Collaborate with cross-functional teams to implement analytical solutions.
- Present findings and business recommendations to stakeholders effectively.
- Stay updated on industry trends and emerging analytics techniques.
- Innovate with new approaches for enhanced risk and fraud management.
- Integrate predictive models with economic logic to enable profitable decisions.
Requirements
Education:
- MBA, Master’s degree in Economics, Statistics, Computer Science, or related fields.
Experience:
- 0–30 months in analytics or big data roles.
Skills:
- Proficiency in Python, R, SAS, SQL, and Spark.
- Familiarity with unsupervised and supervised techniques (e.g., neural models, decision trees, Bayesian models).
- Excellent problem-solving, interpersonal, and communication skills.
- Ability to manage complex projects and work independently.
Preferred:
- Expertise in algorithms, high-performance computing, and coding.
- Experience with advanced ML techniques such as reinforcement learning and graphical models.
Responsibilities
- Analyze large datasets to uncover actionable business insights.
- Develop, deploy, and validate predictive models for risk, fraud, and marketing.
- Leverage machine learning and big data tools to drive intelligent decision-making.
- Collaborate with cross-functional teams to implement analytical solutions.
- Present findings and business recommendations to stakeholders effectively.
- Stay updated on industry trends and emerging analytics techniques.
- Innovate with new approaches for enhanced risk and fraud management.
- Integrate predictive models with economic logic to enable profitable decisions.
Resume Building Tips
- Skills: Highlight tools like Python, SAS, SQL, and Spark, and ML techniques such as supervised/unsupervised learning.
- Experience: Showcase projects involving data analysis, predictive modeling, or business impact with metrics.
- Teamwork: Demonstrate collaboration with cross-functional teams and stakeholder management.
- Problem Solving: Highlight innovative solutions and ability to handle complex challenges.
- Education: Include degrees or certifications in data science, analytics, or related fields.
- Results-Oriented: Quantify impact, e.g., improved accuracy by X% or reduced risk by Y%.
- Leadership: Emphasize leadership roles in projects or initiatives, even in internships.
- Continuous Learning: Mention any workshops, courses, or participation in hackathons to stay updated.
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