Data Scientist

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services.  Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results.  We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions.  Join our dynamic team and make your mark on the payments technology landscape of tomorrow. 

Every day, Global Payments makes it possible for millions of people to move money between buyers
and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our
worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600
million cardholders grow with confidence and achieve amazing results. We are driven by our
passion for success and we are proud to deliver best-in-class payment technology and software
solutions. Join our dynamic team and make your mark on the payments technology landscape of
tomorrow.
Essential
● 10 or more years of Industry experience.
● 6 Years or more Experience in Python, AWS & Data Engineering technology:
● Design machine learning systems.
● Research and implement appropriate ML algorithms and tools.
● Develop machine learning applications according to requirements.
● Train and retrain systems when necessary.
● Deep understanding of data science and software engineering principles.
● Ability to write robust code in Python.
● Well versed with AWS framework & various services.
● Select appropriate datasets and data representation methods.
● Perform statistical analysis and fine-tuning using test results.
● Preferred to have payment domain knowledge.
● BE/B Tech/MCA/M Tech
● IT Project Experience (Agile SCRUM along with SDLC)
● Soft Skills Adaptability, Portray a positive attitude, Flexible, Quick Learner
Personal Skills:
● Good oral and written communication skills.
● Strong Analytical skills with independently analyzing & resolving the problem.
● Ability to understand business needs and translate into technology solutions.
● Effective handling of a few team members with their day to day tasks.
● Go Getter attitude to handle challenging development tasks.
● It is a senior level position which requires team member to have strong technical knowledge
and experience in designing the machine learning systems, mentoring & guiding junior team
members technically.. Work closely and coordinate with testers, BA, Product and DBA.
● Keeping a healthy team environment while consistently exceeding the expectations
(productivity, quality, timeliness & capacity utilization) of the stakeholders.
● Manage and ensure internal customer expectations (US) are met from a work delivery
standpoint.
● Follow TSYS policies and procedure, product and development methodologies. Technologies
used for product delivery.
● Normal business Timings will be 12:00 AM to 9:00 PM and will change as per DST changes.

Global Payments Inc. is an equal opportunity employer.
Global Payments provides equal employment opportunities to all employees and applicants for
employment without regard to race, color, religion, sex (including pregnancy), national origin,
ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran
status, genetic information or any other basis protected by law. Those applicants requiring
reasonable accommodation to the application and/or interview process should notify a
representative of the Human Resources Department.

Global Payments Inc. is an equal opportunity employer.

Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resources Department.