American Express Careers, American Express Virtual Assistant In US @ Click To Know More (Data Scientist)
Job Details:-
Hiring Organization: American Express
Post Name: Data Scientist
Qualification: Graduation
Industry: Private
Employment Type: Full Time
Work Hours: 8
Salary: $20 To $30 /An Hour
Location: USA
Full Job Description:
you lead the way. We have your back. With the right support, people and businesses have the power to transform in incredible ways. When you join the Amex team, you become part of a global and diverse group of friends who are passionate about supporting our customers, our communities and each other. Here, you’ll learn and grow as we help you create a unique and rewarding career with benefits, programs and changes that support you personally and professionally.
At American Express, you will be recognized for your contributions, leadership and impact. All colleagues have the opportunity to participate in the success of the company. Together, we will stand up as one team as we strive to uphold our company values and our unwavering commitment to delivering the best customer experience in the world every day. And we will do so with as much integrity as possible in an environment where everyone can see, hear and have. Join the Amex team and lead the way together.
As a brand goes above and beyond to provide the best customer experience, having the best partners is essential. As the face of the business, you can interact well with your customers on a daily basis, from selecting travel or lifestyle specials to supporting your daily use. And through industry training and ongoing education, you can improve your skills while learning what it means to continue to set the standard for a world-class, customer-focused premier product.
The organizations decide that Science will be a key member of the credit union and fraud risk. We seek thinkers and problem solvers who can combine business, technology, and business best practices as we develop analytics, models, and processes that enhance our customers’ experience.
This core team is responsible for risk management across all global customers, across all customer and business segments, and across all global products. Build business-driven data capabilities, create effective operational decisions, develop predictive models based on machine learning, and improve customer service strategies.
Our decision research team uses business modeling and AI practices to predict customer behavior. Develop, deploy, and implement predictive models to support decision-making in credit, fraud, marketing, and best services, and encourage the use of models in business impression logic.
This role includes some of the following responsibilities.
Work with lots of digital data (web, apps, APIs) and smart tools in our Big Data business. Build NLP-based solutions by analyzing business problems to collect training data, analyze data, model, validate, and deliver NLP models.
- Create everything from simple menus to advanced learning models and algorithms to improve your customers’ online experience and mobile apps.
- Work with product owners to develop new products and content with a data-driven approach
- Work with technology partners to test, implement and provide prototype solutions for production systems. Introduce new techniques to develop customer behavior insights and turn complex behavioral data into meaningful insights.
- Use the power of the closed loop with the Amex Network to make better, more informed decisions.
- Innovation with a focus on creating new and better ways to use big data and machine learning solutions
Eligibility:
Masters/PhD in various fields (computer science, statistics, mathematics, physics, operations research, etc.) with experience in the use of analytical skills and machine learning. A PhD in NLP with practical experience is a strong advantage. Proficiency in an analytical language (Python, R or equivalent) and experience with databases (Hive, SQL or equivalent). Knowledge of SAS is a plus, but not required. Strong understanding of machine learning/statistical algorithms such as deep learning and reinforcement learning. Data visualization is better
Demonstrated ability to formulate business problems as mathematical problems and to use external (academic and/or other) thinking and tools to develop solutions and provide business insights. Ability to work well in a team environment
- Organized and independent thinker with strong attention to detail and the ability to multi-task
- strong communication skills
- Ability to learn quickly and work independently on details, no problem getting started
- Ability to integrate with business partners around the world
- Mastery of presentation tools such as Excel and PowerPoint
How to prepare for an interview in America:
Preparing for a job interview in the United States involves several steps to present yourself as the best candidate for the job. Here are some tips to help you prepare for your interview.
- Company Research: In-depth research of the company to understand its values, mission and culture. This will help you meet the unique needs of your business and show that you are the right fit for the organization.
- Review Job Description: Review the job description and identify the key skills and qualifications required for the position. This can help you prepare specific examples and stories that demonstrate your abilities and qualifications.
- Prepare answers: Prepare answers to questions such as “Tell me about yourself” or “Why do you like this role?” » Practice your answers with friends and family to gain confidence and make your answers clear and concise.
- Appropriate dress code: Dress for the interview. In the United States, it is customary to wear professional attire such as a suit or dress for a job interview.
- Bring a copy of your resume: Bring a copy of your resume, curriculum vitae, and other necessary documents to the interview.
- Be on time: Plan to arrive at least 15 minutes early for your interview if there are any expected delays. Show your passion: During the interview, show your passion for the position and the company. Get involved, ask questions and express your interest in the opportunity to work for the organization.
- After the interview: Send a thank you letter or email to the interviewer within 24 hours of the interview. This can help you stand out and show off your skills and enthusiasm for the position.
Follow these tips to increase your chances of succeeding in an interview in the United States.
Why choose the United States to work:
There are many reasons why people choose America for jobs.
- Best Jobs: The United States is home to some of the largest and most successful companies in the world that provide job seekers with great jobs in a variety of industries.
- Competitive salaries: Wages and salaries in the United States are among the highest in the world and the cost of living is reasonable. Competitive salaries make it an attractive destination for those looking to advance their careers and improve their livelihoods.
- Foreign Workers: The United States has a diverse workforce that offers people of different races and ethnicities the opportunity to work and succeed in their careers.
- Professional Development: The United States offers great professional development opportunities such as networking, training, and mentorship.
- Innovative work culture: The United States is renowned for its innovative and creative work culture, which encourages employees to think outside the box, take risks, come up with new ideas, and be happy.
- Work-Life Balance: Many companies in the United States offer flexible work arrangements, such as telecommuting and flexible working arrangements, to help employees achieve a better work-life balance.
- Visa schedule: The United States has several visa schedules for foreign workers, which makes it easy for qualified professionals to travel to the United States for work.
American Express Careers, American Express Virtual Assistant In US @ Click To Know More (Data Scientist)
