Job Description
Location: This position is based in India. While this is a remote flexible role it is required to reside in this country.
Who we are:
MoneyGram is a customer-centric, digital-first, cross-border money movement network. Through our strong culture of fintech innovation, we’re transforming the way consumers and businesses send and receive money in nearly every country around the world.
Thanks to our cutting-edge platform and strategic partnerships with some of the world’s leading brands, we are helping our millions of customers globally do more with their money through a comprehensive suite of digital and in-person products and services.
This is all made possible by our dedicated and diverse team of professionals around the world. If you’re ready for a career journey filled with exciting opportunities, come aboard and let’s drive the future of payments together at MoneyGram!
The Numbers:
We serve over 50 million people every year in over 200 countries and territories.
We're a global team of over 2,000 from 36 countries around the world.
We process over $200 billion annually with digital transactions now making up about 50% of our money transfer business.
We’re known for our strong culture globally, demonstrated by:
“Top Workplaces USA” award winner (three consecutive years in a row!)
One of the “Best Places to Work” in the Middle East.
Winner of many regional awards, such as “Friendly Workplace in Poland” and “Top Workplace in DFW” by The Dallas Morning News.
What you will contribute:
As the Senior Data Scientist you will have functional expertise in data science and machine learning, leading the charge on innovative work, and guiding the organization on methodology and best practices. Working closely with our compliance, operations, information technology team, and the larger data teams, you’ll dive into a powerful data set to help us structure analysis and develop insights that will help to answer important questions. Your statistical, computer science and business domain expertise will have a significant influence on MoneyGram’s business.
What you’ll do:
As part of the data team, contribute to solving business problems by framing the problems, determining intended approach and statistical/quantitative methods, evaluating the analytical solutions to the problems, and deploying them to production.
Engage with partners to advise on analytical project requirements, discuss methodologies and negotiate deliverables.
Evaluate and deploy data analysis techniques in four key domains:
1. Informative and reporting, including visualization.
2. Discovery, including correlative and pattern recognition modeling techniques.
3. Extrapolative, including predictive modeling techniques.
4. Adaptive, including machine learning and adaptive modeling techniques.
Build scalable and high-performance engines that automate the above four classes of analysis where possible.
Rapidly test hypotheses by developing prototypes, running off-line experiments, and on-line statistical models and tests.
Analyze pre-existing models and algorithms; suggest how to improve the efficiency and effectiveness, to drive value to the organization.
Deliver a range of custom Data Science projects that may include Agent and Consumer Risk Modeling, Customer Lifetime Value, Customer Propensity Modeling, Image Recognition; The list goes on.
Learn, and practice to use new tools in an inspiring technical environment that combines both coding and statistical skills, knowledge about business, customer and fraud, and real-time data.
Who we’re looking for:
Education
Bachelor's degree - Computer Science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields.
Master’s degree in computer science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields preferred.
Experience
3+ years of experience in a data analytics capacity.
3+ years of experience in technical model development and implementation, model validation, and/or model oversight.
Thorough understanding and experience working with big data technologies.
Essential Skills
Advanced data wrangling skills. (e.g. high comfort level with consolidating and joining data, creating formulas, aggregating data, deduplication).
Extensive machine learning and modeling experience and have delivered multiple projects.
Experience with exploratory data analysis, and a conceptual understanding of time series analysis, clustering, or segmentation.
Hands-on experience using “big data technologies”.
Proficiency in one or more of the following: SQL, Python, BigQuery ML, and autoML.
Stakeholder management: ability to independently communicate technical and statistical concepts to non-practitioners and influence the application.
Why you will love working here:
Your future is in your hands.
When you start a career at MoneyGram, you join a talented and motivated team that builds the success of a trusted, global provider of innovative money transfer and payment services.
Here are some reasons it is so easy to love your career with us!
Comprehensive Health Insurance - Full coverage for you and your family, including dental and vision care. Stay healthy and worry-free!
Life and Accident Insurance - Peace of mind with coverage that protects you and your loved ones.
Community Service Days - Make a difference! Enjoy paid days off to volunteer and give back to your community.
Tuition Reimbursement - Invest in your future with our tuition reimbursement program. We support your educational and career growth.
Transfer Fee Reimbursement - Corporate products and services at discounted prices. We’ve got you covered.
Employee Assistance Program - Access to confidential counseling and support services for personal and professional well-being.
Employee Referral Program - Help us grow our team! Earn rewards for referring talented friends and colleagues.
Remote work flexibility - Enjoy the freedom of working remotely with flexible scheduling options.
Who we are:
MoneyGram is a customer-centric, digital-first, cross-border money movement network. Through our strong culture of fintech innovation, we’re transforming the way consumers and businesses send and receive money in nearly every country around the world.
Thanks to our cutting-edge platform and strategic partnerships with some of the world’s leading brands, we are helping our millions of customers globally do more with their money through a comprehensive suite of digital and in-person products and services.
This is all made possible by our dedicated and diverse team of professionals around the world. If you’re ready for a career journey filled with exciting opportunities, come aboard and let’s drive the future of payments together at MoneyGram!
The Numbers:
We serve over 50 million people every year in over 200 countries and territories.
We're a global team of over 2,000 from 36 countries around the world.
We process over $200 billion annually with digital transactions now making up about 50% of our money transfer business.
We’re known for our strong culture globally, demonstrated by:
“Top Workplaces USA” award winner (three consecutive years in a row!)
One of the “Best Places to Work” in the Middle East.
Winner of many regional awards, such as “Friendly Workplace in Poland” and “Top Workplace in DFW” by The Dallas Morning News.
What you will contribute:
As the Senior Data Scientist you will have functional expertise in data science and machine learning, leading the charge on innovative work, and guiding the organization on methodology and best practices. Working closely with our compliance, operations, information technology team, and the larger data teams, you’ll dive into a powerful data set to help us structure analysis and develop insights that will help to answer important questions. Your statistical, computer science and business domain expertise will have a significant influence on MoneyGram’s business.
What you’ll do:
As part of the data team, contribute to solving business problems by framing the problems, determining intended approach and statistical/quantitative methods, evaluating the analytical solutions to the problems, and deploying them to production.
Engage with partners to advise on analytical project requirements, discuss methodologies and negotiate deliverables.
Evaluate and deploy data analysis techniques in four key domains:
1. Informative and reporting, including visualization.
2. Discovery, including correlative and pattern recognition modeling techniques.
3. Extrapolative, including predictive modeling techniques.
4. Adaptive, including machine learning and adaptive modeling techniques.
Build scalable and high-performance engines that automate the above four classes of analysis where possible.
Rapidly test hypotheses by developing prototypes, running off-line experiments, and on-line statistical models and tests.
Analyze pre-existing models and algorithms; suggest how to improve the efficiency and effectiveness, to drive value to the organization.
Deliver a range of custom Data Science projects that may include Agent and Consumer Risk Modeling, Customer Lifetime Value, Customer Propensity Modeling, Image Recognition; The list goes on.
Learn, and practice to use new tools in an inspiring technical environment that combines both coding and statistical skills, knowledge about business, customer and fraud, and real-time data.
Who we’re looking for:
Education
Bachelor's degree - Computer Science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields.
Master’s degree in computer science, Information Systems Management, Statistics, Operations Research, Business Administration, or other related fields preferred.
Experience
3+ years of experience in a data analytics capacity.
3+ years of experience in technical model development and implementation, model validation, and/or model oversight.
Thorough understanding and experience working with big data technologies.
Essential Skills
Advanced data wrangling skills. (e.g. high comfort level with consolidating and joining data, creating formulas, aggregating data, deduplication).
Extensive machine learning and modeling experience and have delivered multiple projects.
Experience with exploratory data analysis, and a conceptual understanding of time series analysis, clustering, or segmentation.
Hands-on experience using “big data technologies”.
Proficiency in one or more of the following: SQL, Python, BigQuery ML, and autoML.
Stakeholder management: ability to independently communicate technical and statistical concepts to non-practitioners and influence the application.
Why you will love working here:
Your future is in your hands.
When you start a career at MoneyGram, you join a talented and motivated team that builds the success of a trusted, global provider of innovative money transfer and payment services.
Here are some reasons it is so easy to love your career with us!
Comprehensive Health Insurance - Full coverage for you and your family, including dental and vision care. Stay healthy and worry-free!
Life and Accident Insurance - Peace of mind with coverage that protects you and your loved ones.
Community Service Days - Make a difference! Enjoy paid days off to volunteer and give back to your community.
Tuition Reimbursement - Invest in your future with our tuition reimbursement program. We support your educational and career growth.
Transfer Fee Reimbursement - Corporate products and services at discounted prices. We’ve got you covered.
Employee Assistance Program - Access to confidential counseling and support services for personal and professional well-being.
Employee Referral Program - Help us grow our team! Earn rewards for referring talented friends and colleagues.
Remote work flexibility - Enjoy the freedom of working remotely with flexible scheduling options.
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data Scientist position is now open for candidates interested in the Work from home Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.