MoneyGram
Head of Decision Science
MoneyGram, Dallas, Texas, United States, 75215
Job Description - Head of Decision Science (24010714)
Job Description
Head of Decision Science - ( 24010714 )
Description
This position is based in ______. 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 part of the Data Operations team at MoneyGram, you will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across multiple business applications. The role will manage a team of developers across project execution and R&D efforts. The leader will serve as the main lead on projects to drive the strategy, roadmap, and prototyping of AI/ML solutions to meet each project’s unique requirements. The position will also oversee the technical direction of each project while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve various use cases. The role will engage and guide MoneyGram stakeholders with high autonomy in AI strategy and adoption, including understanding organizational needs and measuring business value. What you’ll do: Identify, prioritize, and conceptualize new industry specific AI solutions and services in line with business growth strategy Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance. Lead in the research and adoption of industry best practices for validation of models; support best delivery practices, including validation, code review, unit, and integration tests Present to key stakeholders, including dataset findings and solution infrastructure, hardware, software, cloud, and deployment, etc. Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development Creates and maintains documentation of technologies and assists tool users in their roles for compliance in privacy, security, and records management. Oversees change management initiatives. What we’re looking for: Master's or Ph.D degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) 6+ years of experience working in data science, data engineering or MLOps experience using tools such as SQL to assess datasets and recommend solutions 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in using Python and working experience in one/more cloud computing platforms such as AWS, Google Cloud Platform, Azure Experience in LLMs (extractive and generative), fine-tuning and LLM model development. 6+ years of experience in core programming languages and data science packages (Python, Keras, MLFlow, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) and building CI/CD pipelines 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms 4+ years of experience managing teams and delivering complex and critical projects Experience with cloud deployments (AWS, Azure, GCP), such as building and scaling in Google Vertex AI, AWS SageMaker or Azure ML Studio Excellent verbal and written communication skills and experience in a leader-facing or team management role is preferred Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations Able to clearly identify business goals and translate that into Technology objectives & strategies. Experience and understanding to participate in overall discussions and/or lead innovative technology solutions. Data analysis, interpretation, and presentation of credible, business-focused recommendations Ability to take initiative, manage deadlines, and handle multiple priorities simultaneously with minimal supervision Excellent problem-solving skills Experience in Kubernetes is a plus 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! Flexible Remote First Flexibility Generous PTO 13 Paid Holidays Medical / Dental / Vision Insurance Life, Disability and other benefits 401K with competitive Employer Match Community Service Days Generous parental leave Salary: Anticipated Base Pay: $200K-$260k + participation in our annual bonus plan. Disclaimer: The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. At MoneyGram, we celebrate the inclusivity and diversity of our employees. We're committed to promoting a respectful workplace where every applicant gets an equal opportunity to work at MoneyGram. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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"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 part of the Data Operations team at MoneyGram, you will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across multiple business applications. The role will manage a team of developers across project execution and R&D efforts. The leader will serve as the main lead on projects to drive the strategy, roadmap, and prototyping of AI/ML solutions to meet each project’s unique requirements. The position will also oversee the technical direction of each project while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve various use cases. The role will engage and guide MoneyGram stakeholders with high autonomy in AI strategy and adoption, including understanding organizational needs and measuring business value. What you’ll do: Identify, prioritize, and conceptualize new industry specific AI solutions and services in line with business growth strategy Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance. Lead in the research and adoption of industry best practices for validation of models; support best delivery practices, including validation, code review, unit, and integration tests Present to key stakeholders, including dataset findings and solution infrastructure, hardware, software, cloud, and deployment, etc. Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development Creates and maintains documentation of technologies and assists tool users in their roles for compliance in privacy, security, and records management. Oversees change management initiatives. What we’re looking for: Master's or Ph.D degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) 6+ years of experience working in data science, data engineering or MLOps experience using tools such as SQL to assess datasets and recommend solutions 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models 6+ years of experience in using Python and working experience in one/more cloud computing platforms such as AWS, Google Cloud Platform, Azure Experience in LLMs (extractive and generative), fine-tuning and LLM model development. 6+ years of experience in core programming languages and data science packages (Python, Keras, MLFlow, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) and building CI/CD pipelines 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms 4+ years of experience managing teams and delivering complex and critical projects Experience with cloud deployments (AWS, Azure, GCP), such as building and scaling in Google Vertex AI, AWS SageMaker or Azure ML Studio Excellent verbal and written communication skills and experience in a leader-facing or team management role is preferred Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations Able to clearly identify business goals and translate that into Technology objectives & strategies. Experience and understanding to participate in overall discussions and/or lead innovative technology solutions. Data analysis, interpretation, and presentation of credible, business-focused recommendations Ability to take initiative, manage deadlines, and handle multiple priorities simultaneously with minimal supervision Excellent problem-solving skills Experience in Kubernetes is a plus 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! Flexible Remote First Flexibility Generous PTO 13 Paid Holidays Medical / Dental / Vision Insurance Life, Disability and other benefits 401K with competitive Employer Match Community Service Days Generous parental leave Salary: Anticipated Base Pay: $200K-$260k + participation in our annual bonus plan. Disclaimer: The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. At MoneyGram, we celebrate the inclusivity and diversity of our employees. We're committed to promoting a respectful workplace where every applicant gets an equal opportunity to work at MoneyGram. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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